Upload folder using huggingface_hub

README.md

@@ -0,0 +1,55 @@
+---
+license: apache-2.0
+language:
+- en
+tags:
+- merge
+---
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/7JsqBt8QRiZmcMh-ameqH.jpeg)
+# It's alive!!!! Half the size and better on GSM8k and Winogrande than Mixtral Instruct 8x 7B!
+
+A frankenMoE using only DPO models. To be used with Chat-instruct mode enabled.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/wGRcusncUd-mCdksvYckY.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/rx1GfLMEIP3T-r3bxqW9r.png)
+
+
+- [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B) - router
+- [udkai/Turdus](https://huggingface.co/udkai/Turdus) - expert #1
+- [distilabeled-Marcoro14-7B-slerp](https://huggingface.co/argilla/distilabeled-Marcoro14-7B-slerp) - expert #2
+- [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B) - expert #3
+- [Neuronovo/neuronovo-9B-v0.3](https://huggingface.co/Neuronovo/neuronovo-9B-v0.3) - expert #4
+
+# "[What is a Mixture of Experts (MoE)?](https://huggingface.co/blog/moe)"
+### (from the MistralAI papers...click the quoted question above to navigate to it directly.)
+
+The scale of a model is one of the most important axes for better model quality. Given a fixed computing budget, training a larger model for fewer steps is better than training a smaller model for more steps.
+
+Mixture of Experts enable models to be pretrained with far less compute, which means you can dramatically scale up the model or dataset size with the same compute budget as a dense model. In particular, a MoE model should achieve the same quality as its dense counterpart much faster during pretraining.
+
+So, what exactly is a MoE? In the context of transformer models, a MoE consists of two main elements:
+
+    Sparse MoE layers are used instead of dense feed-forward network (FFN) layers. MoE layers have a certain number of “experts” (e.g. 32 in my "frankenMoE"), where each expert is a neural network. In practice, the experts are FFNs, but they can also be more complex networks or even a MoE itself, leading to hierarchical MoEs!
+    
+    A gate network or router, that determines which tokens are sent to which expert. For example, in the image below, the token “More” is sent to the second expert, and the token "Parameters” is sent to the first network. As we’ll explore later, we can send a token to more than one expert. How to route a token to an expert is one of the big decisions when working with MoEs - the router is composed of learned parameters and is pretrained at the same time as the rest of the network.
+
+At every layer, for every token, a router network chooses two of these groups (the “experts”) to process the token and combine their output additively.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/up_I0R2TQGjqTShZp_1Sz.png)
+
+Switch Layer
+MoE layer from the [Switch Transformers paper](https://arxiv.org/abs/2101.03961)
+
+So, to recap, in MoEs we replace every FFN layer of the transformer model with an MoE layer, which is composed of a gate network and a certain number of experts.
+
+Although MoEs provide benefits like efficient pretraining and faster inference compared to dense models, they also come with challenges:
+
+    Training: MoEs enable significantly more compute-efficient pretraining, but they’ve historically struggled to generalize during fine-tuning, leading to overfitting.
+    Inference: Although a MoE might have many parameters, only some of them are used during inference. This leads to much faster inference compared to a dense model with the same number of parameters. However, all parameters need to be loaded in RAM, so memory requirements are high. For example, [given a MoE like Mixtral 8x7B](https://huggingface.co/blog/moe), we’ll need to have enough VRAM to hold a dense 47B parameter model. Why 47B parameters and not 8 x 7B = 56B? That’s because in MoE models, only the FFN layers are treated as individual experts, and the rest of the model parameters are shared. At the same time, assuming just two experts are being used per token, the inference speed (FLOPs) is like using a 12B model (as opposed to a 14B model), because it computes 2x7B matrix multiplications, but with some layers shared (more on this soon).
+
+If all our tokens are sent to just a few popular experts, that will make training inefficient. In a normal MoE training, the gating network converges to mostly activate the same few experts. This self-reinforces as favored experts are trained quicker and hence selected more. To mitigate this, an auxiliary loss is added to encourage giving all experts equal importance. This loss ensures that all experts receive a roughly equal number of training examples. The following sections will also explore the concept of expert capacity, which introduces a threshold of how many tokens can be processed by an expert. In transformers, the auxiliary loss is exposed via the aux_loss parameter.
+
+
+## "Wait...but you called this a frankenMoE?"
+The difference between MoE and "frankenMoE" lies in the fact that the router layer in a model like the one on this repo is not trained simultaneously.

config.json

@@ -0,0 +1,30 @@
+{
+  "_name_or_path": "SanjiWatsuki/Kunoichi-DPO-v2-7B",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 4,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

huggingface-metadata.txt

@@ -0,0 +1,10 @@
+url: https://huggingface.co/Kquant03/FrankenDPO-4x7B-bf16
+branch: main
+download date: 2024-01-16 14:23:34
+sha256sum:
+    4d35281a3e88f5a2966e48d6bfc4629fb21b3d4be53d3e7c3c82fbf97ae80a15 model-00001-of-00005.safetensors
+    cdd61403c1ba57b311d4907972faf6d1f4e1ea40d71b44c4b894a68c2a05d218 model-00002-of-00005.safetensors
+    4c12260fa6d13943d719abfe2e41fdcdeb672c79437ae2fb0f6cbdc868128630 model-00003-of-00005.safetensors
+    b2ba2235cbfd7ac96b255774116eeebf8fef028f67706c6ec05d42f41facc061 model-00004-of-00005.safetensors
+    219714d908032bdde0b1218e6ac09c80dbc4a6b437fa42502f4ce8032f414dea model-00005-of-00005.safetensors
+    dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055 tokenizer.model

mergekit_moe_config.yml

@@ -0,0 +1,40 @@
+base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+gate_mode: hidden
+dtype: bfloat16
+experts:
+  - source_model: udkai/Turdus
+    positive_prompts:
+    - "helpful"
+    - "Relevant"
+    - "Factual"
+    - "Precise"
+    - "Descriptive"
+  - source_model: argilla/distilabeled-Marcoro14-7B-slerp
+    positive_prompts:
+    - "Math"
+    - "Programming"
+    - "Engineering"
+    - "Science"
+    negative_prompts:
+    - "inaccurate"
+    - "incorrect"
+  - source_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+    positive_prompts:
+    - "Discuss"
+    - "Chat"
+    - "engaging"
+    - "stimulating"
+    negative_prompts:
+    - "Sorry"
+    - "As an AI"
+    - "cannot"
+    - "not capable"
+  - source_model: Neuronovo/neuronovo-7B-v0.3
+    positive_prompts:
+    - "logical"
+    - "informative"
+    - "proper solution"
+    - "innovative"
+    negative_prompts:
+    - "unhelpful"
+    - "inaccurate"

model.safetensors.index.json

@@ -0,0 +1 @@
+{"metadata": {"mergekit_version": "0.0.3.2"}, "weight_map": {"model.embed_tokens.weight": "model-00001-of-00005.safetensors", "model.norm.weight": "model-00001-of-00005.safetensors", "lm_head.weight": "model-00001-of-00005.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.2.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.3.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.4.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.5.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.6.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.7.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.8.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.9.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.10.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.11.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.12.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.13.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.14.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.15.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.16.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.17.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.18.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.19.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.20.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.21.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.22.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.23.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.24.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.25.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.26.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.27.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.28.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.29.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.30.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.31.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.1.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.1.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.1.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.1.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.2.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.2.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.2.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.2.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.3.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.3.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.3.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.3.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.4.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.4.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.4.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.4.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.5.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.5.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.5.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.5.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.6.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.6.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.6.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.6.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.7.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.7.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.7.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.7.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.8.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.8.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.8.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.8.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.9.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.9.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.9.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.9.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.10.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.10.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.10.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.10.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.11.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.11.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.11.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.11.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.12.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.12.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.12.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.12.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.13.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.13.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.13.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.13.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.14.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.14.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.14.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.14.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.15.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.15.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.15.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.15.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.16.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.16.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.16.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.16.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.17.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.17.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.17.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.17.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.18.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.18.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.18.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.18.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.19.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.19.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.19.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00005.safetensors", "model.layers.19.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00005.safetensors", "model.layers.20.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00005.safetensors", "model.layers.20.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00005.safetensors", "model.layers.20.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00005.safetensors", "model.layers.20.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00005.safetensors", "model.layers.21.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00005.safetensors", "model.layers.21.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00005.safetensors", "model.layers.21.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00005.safetensors", "model.layers.21.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00005.safetensors", "model.layers.22.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00005.safetensors", "model.layers.22.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00005.safetensors", "model.layers.22.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00005.safetensors", "model.layers.22.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00005.safetensors", "model.layers.23.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00005.safetensors", "model.layers.23.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00005.safetensors", "model.layers.23.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00005.safetensors", "model.layers.23.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00005.safetensors", "model.layers.24.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00005.safetensors", "model.layers.24.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00005.safetensors", "model.layers.24.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00005.safetensors", "model.layers.24.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00005.safetensors", "model.layers.25.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00005.safetensors", "model.layers.25.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00005.safetensors", "model.layers.25.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00005.safetensors", "model.layers.25.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00005.safetensors", "model.layers.26.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00005.safetensors", "model.layers.26.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00005.safetensors", "model.layers.26.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00005.safetensors", "model.layers.26.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00005.safetensors", "model.layers.27.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00005.safetensors", "model.layers.27.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00005.safetensors", "model.layers.27.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00005.safetensors", "model.layers.27.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00005.safetensors", "model.layers.28.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00005.safetensors", "model.layers.28.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00005.safetensors", "model.layers.28.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00005.safetensors", "model.layers.28.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00005.safetensors", "model.layers.29.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00005.safetensors", "model.layers.29.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00005.safetensors", "model.layers.29.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00005.safetensors", "model.layers.29.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00005.safetensors", "model.layers.30.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00005.safetensors", "model.layers.30.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00005.safetensors", "model.layers.30.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00005.safetensors", "model.layers.30.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00005.safetensors", "model.layers.31.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00005.safetensors", "model.layers.31.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00005.safetensors", "model.layers.31.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00005.safetensors", "model.layers.31.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.2.w2.weight": "model-00002-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.3.w2.weight": "model-00002-of-00005.safetensors", "model.layers.1.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00005.safetensors", "model.layers.1.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00005.safetensors", "model.layers.1.block_sparse_moe.experts.2.w2.weight": "model-00002-of-00005.safetensors", "model.layers.1.block_sparse_moe.experts.3.w2.weight": "model-00002-of-00005.safetensors", "model.layers.2.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00005.safetensors", "model.layers.2.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00005.safetensors", "model.layers.2.block_sparse_moe.experts.2.w2.weight": "model-00002-of-00005.safetensors", "model.layers.2.block_sparse_moe.experts.3.w2.weight": "model-00002-of-00005.safetensors", "model.layers.3.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00005.safetensors", "model.layers.3.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00005.safetensors", "model.layers.3.block_sparse_moe.experts.2.w2.weight": "model-00002-of-00005.safetensors", "model.layers.3.block_sparse_moe.experts.3.w2.weight": "model-00002-of-00005.safetensors", "model.layers.4.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00005.safetensors", "model.layers.4.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00005.safetensors", "model.layers.4.block_sparse_moe.experts.2.w2.weight": "model-00002-of-00005.safetensors", "model.layers.4.block_sparse_moe.experts.3.w2.weight": "model-00002-of-00005.safetensors", "model.layers.5.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00005.safetensors", "model.layers.5.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00005.safetensors", "model.layers.5.block_sparse_moe.experts.2.w2.weight": "model-00002-of-00005.safetensors", "model.layers.5.block_sparse_moe.experts.3.w2.weight": "model-00002-of-00005.safetensors", "model.layers.6.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00005.safetensors", "model.layers.6.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00005.safetensors", "model.layers.6.block_sparse_moe.experts.2.w2.weight": "model-00002-of-00005.safetensors", "model.layers.6.block_sparse_moe.experts.3.w2.weight": "model-00002-of-00005.safetensors", "model.layers.7.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00005.safetensors", "model.layers.7.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00005.safetensors", "model.layers.7.block_sparse_moe.experts.2.w2.weight": "model-00002-of-00005.safetensors", "model.layers.7.block_sparse_moe.experts.3.w2.weight": "model-00002-of-00005.safetensors", "model.layers.8.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00005.safetensors", "model.layers.8.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00005.safetensors", "model.layers.8.block_sparse_moe.experts.2.w2.weight": "model-00002-of-00005.safetensors", "model.layers.8.block_sparse_moe.experts.3.w2.weight": "model-00002-of-00005.safetensors", "model.layers.9.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00005.safetensors", "model.layers.9.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.9.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.9.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.10.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.10.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.10.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.10.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.11.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.11.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.11.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.11.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.12.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.12.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.12.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.12.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.13.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.13.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.13.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.13.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.14.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.14.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.14.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.14.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.15.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.15.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.15.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.15.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.16.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.16.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.16.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.16.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.17.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.17.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.17.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.17.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.18.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.18.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.18.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.18.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.19.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.19.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.19.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.19.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.20.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.20.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.20.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.20.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.21.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.21.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.21.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.21.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.22.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.22.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.22.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.22.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.23.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.23.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.23.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.23.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.24.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.24.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.24.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.24.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.25.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.25.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.25.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.25.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.26.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.26.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.26.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.26.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.27.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.27.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.27.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.27.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.28.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.28.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.28.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.28.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.29.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.29.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.29.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00005.safetensors", "model.layers.29.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00005.safetensors", "model.layers.30.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00005.safetensors", "model.layers.30.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00005.safetensors", "model.layers.30.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00005.safetensors", "model.layers.30.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00005.safetensors", "model.layers.31.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00005.safetensors", "model.layers.31.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00005.safetensors", "model.layers.31.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00005.safetensors", "model.layers.31.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.1.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.1.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.1.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.1.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.2.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.2.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.2.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.2.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.3.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.3.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.3.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.3.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.4.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.4.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.4.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.4.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.5.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.5.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.5.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.5.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.6.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.6.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.6.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.6.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.7.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.7.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.7.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.7.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.8.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.8.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.8.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.8.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.9.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.9.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.9.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.9.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.10.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.10.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.10.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.10.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.11.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.11.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.11.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.11.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.12.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.12.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.12.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.12.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.13.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.13.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.13.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.13.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.14.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.14.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.14.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.14.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.15.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.15.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.15.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.15.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.16.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.16.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.16.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.16.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.17.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.17.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.17.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.17.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.18.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.18.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.18.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.18.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00005.safetensors", "model.layers.19.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00005.safetensors", "model.layers.19.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00005.safetensors", "model.layers.19.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00005.safetensors", "model.layers.19.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00005.safetensors", "model.layers.20.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00005.safetensors", "model.layers.20.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00005.safetensors", "model.layers.20.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00005.safetensors", "model.layers.20.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00005.safetensors", "model.layers.21.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00005.safetensors", "model.layers.21.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00005.safetensors", "model.layers.21.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00005.safetensors", "model.layers.21.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00005.safetensors", "model.layers.22.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00005.safetensors", "model.layers.22.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00005.safetensors", "model.layers.22.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00005.safetensors", "model.layers.22.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00005.safetensors", "model.layers.23.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00005.safetensors", "model.layers.23.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00005.safetensors", "model.layers.23.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00005.safetensors", "model.layers.23.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00005.safetensors", "model.layers.24.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00005.safetensors", "model.layers.24.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00005.safetensors", "model.layers.24.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00005.safetensors", "model.layers.24.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00005.safetensors", "model.layers.25.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00005.safetensors", "model.layers.25.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00005.safetensors", "model.layers.25.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00005.safetensors", "model.layers.25.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00005.safetensors", "model.layers.26.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00005.safetensors", "model.layers.26.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00005.safetensors", "model.layers.26.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00005.safetensors", "model.layers.26.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00005.safetensors", "model.layers.27.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00005.safetensors", "model.layers.27.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00005.safetensors", "model.layers.27.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00005.safetensors", "model.layers.27.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00005.safetensors", "model.layers.28.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00005.safetensors", "model.layers.28.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00005.safetensors", "model.layers.28.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00005.safetensors", "model.layers.28.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00005.safetensors", "model.layers.29.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00005.safetensors", "model.layers.29.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00005.safetensors", "model.layers.29.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00005.safetensors", "model.layers.29.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00005.safetensors", "model.layers.30.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00005.safetensors", "model.layers.30.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00005.safetensors", "model.layers.30.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00005.safetensors", "model.layers.30.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00005.safetensors", "model.layers.31.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00005.safetensors", "model.layers.31.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00005.safetensors", "model.layers.31.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00005.safetensors", "model.layers.31.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00005.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.2.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.3.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.4.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.5.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.6.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.7.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.8.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.9.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.10.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.11.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.12.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.13.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.14.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.15.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.16.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.17.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.24.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.25.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.26.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.27.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.28.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.29.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.30.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.31.post_attention_layernorm.weight": "model-00005-of-00005.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.2.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.3.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.4.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.5.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.6.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.7.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.8.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.9.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.10.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.11.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.12.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.13.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.14.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.15.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.16.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.17.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.18.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.25.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.26.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.27.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.28.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.29.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.30.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.31.self_attn.q_proj.weight": "model-00005-of-00005.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.2.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.3.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.4.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.5.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.6.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.7.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.8.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.9.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.10.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.11.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.12.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.13.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.14.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.15.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.16.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.17.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.18.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.25.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.26.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.27.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.28.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.29.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.30.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.31.self_attn.k_proj.weight": "model-00005-of-00005.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.2.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.3.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.4.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.5.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.6.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.7.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.8.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.9.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.10.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.11.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.12.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.13.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.14.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.15.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.16.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.17.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.18.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.25.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.26.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.27.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.28.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.29.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.30.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.31.self_attn.v_proj.weight": "model-00005-of-00005.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.2.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.3.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.4.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.5.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.6.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.7.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.8.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.9.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.10.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.11.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.12.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.13.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.14.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.15.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.16.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.17.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.18.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.24.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.25.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.26.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.27.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.28.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.29.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.30.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.31.self_attn.o_proj.weight": "model-00005-of-00005.safetensors", "model.layers.0.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.1.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.2.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.3.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.4.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.5.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.6.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.7.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.8.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.9.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.10.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.11.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.12.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.13.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.14.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.15.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.16.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.17.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.18.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.19.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.20.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.21.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.22.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.23.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.24.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.25.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.26.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.27.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.28.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.29.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.30.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors", "model.layers.31.block_sparse_moe.gate.weight": "model-00005-of-00005.safetensors"}}

output-00001-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:249771ad1d6896d071e491598fe2a2b943a293c97463081d99ed7a170bd5f3a9
+size 8580635952

output-00002-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:821fe254e1631810abb61334ccff665faca13fc464da43ed291d2f11b56d3951
+size 759854712

special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

tokenizer_config.json

@@ -0,0 +1,42 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}