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README.md

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+---
+license: apache-2.0
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- GritLM/GritLM-7B
+- argilla/notus-7b-v1
+base_model:
+- GritLM/GritLM-7B
+- argilla/notus-7b-v1
+---
+
+# GK-inv-MoE-0.1
+
+GK-inv-MoE-0.1 is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [GritLM/GritLM-7B](https://huggingface.co/GritLM/GritLM-7B)
+* [argilla/notus-7b-v1](https://huggingface.co/argilla/notus-7b-v1)
+
+## 🧩 Configuration
+
+```yaml
+base_model: GritLM/GritLM-7B
+experts:
+  - source_model: GritLM/GritLM-7B
+    positive_prompts:
+    - "chat"
+    - "assistant"
+    - "tell me"
+    - "explain"
+    - "I want"
+    - "reason"
+    - "math"
+    - "mathematics"
+    - "solve"
+    - "count"
+  - source_model: argilla/notus-7b-v1
+    positive_prompts:
+    - "code"
+    - "VB.NET"
+    - "vb.net"
+    - "programming"
+    - "algorithm"
+    - "develop"
+    ```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "powermove72/GK-inv-MoE-0.1"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
+)
+
+messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```

config.json

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+{
+  "_name_or_path": "GritLM/GritLM-7B",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoModel": "GritLM/GritLM-7B--modeling_gritlm7b.MistralModel",
+    "AutoModelForCausalLM": "GritLM/GritLM-7B--modeling_gritlm7b.MistralForCausalLM",
+    "AutoModelForSequenceClassification": "GritLM/GritLM-7B--modeling_gritlm7b.MistralForSequenceClassification"
+  },
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "max_position_embeddings": 32768,
+  "model_type": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 2,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.001,
+  "router_jitter_noise": 0.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_moe_config.yml

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+
+base_model: GritLM/GritLM-7B
+experts:
+  - source_model: GritLM/GritLM-7B
+    positive_prompts:
+    - "chat"
+    - "assistant"
+    - "tell me"
+    - "explain"
+    - "I want"
+    - "reason"
+    - "math"
+    - "mathematics"
+    - "solve"
+    - "count"
+  - source_model: argilla/notus-7b-v1
+    positive_prompts:
+    - "code"
+    - "VB.NET"
+    - "vb.net"
+    - "programming"
+    - "algorithm"
+    - "develop"
+    

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tokenizer_config.json

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