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README.md

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+---
+base_model:
+- mistralai/Mixtral-8x7B-v0.1
+- mistralai/Mixtral-8x7B-v0.1
+- Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
+- KoboldAI/Mixtral-8x7B-Holodeck-v1
+- jondurbin/bagel-dpo-8x7b-v0.2
+- mistralai/Mixtral-8x7B-Instruct-v0.1
+tags:
+- mergekit
+- merge
+license: apache-2.0
+---
+# DonutHole-8x7B
+
+[GGUF versions here](https://huggingface.co/ycros/DonutHole-8x7B-GGUF)
+
+Bagel, Mixtral Instruct, Holodeck, LimaRP.
+> What mysteries lie in the hole of a donut?
+
+Good with Alpaca prompt formats, also works with Mistral format. See usage details below.
+
+
+![image/webp](https://cdn-uploads.huggingface.co/production/uploads/63044fa07373aacccd8a7c53/VILuxGHvEPmDsn0YUX6Gh.webp)
+
+This is similar to [BagelMIsteryTour](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B), but I've swapped out Sensualize for the new Holodeck.
+I'm not sure if it's better or not yet, or how it does at higher (8k+) contexts just yet.
+
+Similar sampler advice applies as for BMT: minP (0.07 - 0.3 to taste) -> temp (either dynatemp 0-4ish, or like a temp of 3-4 with a smoothing factor of around 2.5ish).
+And yes, that's temp last. It does okay without rep pen up to a point, it doesn't seem to get into a complete jam, but it can start to repeat sentences,
+so you'll probably need some, perhaps 1.02-1.05 at a 1024 range seems okayish.
+(rep pen sucks, but there are better things coming).
+
+I've mainly tested with LimaRP style Alpaca prompts (instruction/input/response), and briefly with Mistral's own format.
+
+**Full credit to all the model and dataset authors, I am but a derp with compute and a yaml file.**
+
+---
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora](https://huggingface.co/Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora)
+* [KoboldAI/Mixtral-8x7B-Holodeck-v1](https://huggingface.co/KoboldAI/Mixtral-8x7B-Holodeck-v1)
+* [jondurbin/bagel-dpo-8x7b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-8x7b-v0.2)
+* [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: mistralai/Mixtral-8x7B-v0.1
+models:
+  - model: mistralai/Mixtral-8x7B-v0.1+Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
+    parameters:
+      density: 0.5
+      weight: 0.2
+  - model: KoboldAI/Mixtral-8x7B-Holodeck-v1
+    parameters:
+      density: 0.5
+      weight: 0.2
+  - model: mistralai/Mixtral-8x7B-Instruct-v0.1
+    parameters:
+      density: 0.6
+      weight: 1.0
+  - model: jondurbin/bagel-dpo-8x7b-v0.2
+    parameters:
+      density: 0.6
+      weight: 0.5
+merge_method: dare_ties
+dtype: bfloat16
+
+
+```

config.json

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+{
+    "_name_or_path": "mistralai/Mixtral-8x7B-v0.1",
+    "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": 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": 8,
+    "output_router_logits": false,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 1000000.0,
+    "router_aux_loss_coef": 0.02,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.38.1",
+    "use_cache": true,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.1.9",
+        "bits": 8.0,
+        "head_bits": 8,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

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+base_model: mistralai/Mixtral-8x7B-v0.1
+models:
+  - model: mistralai/Mixtral-8x7B-v0.1+Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
+    parameters:
+      density: 0.5
+      weight: 0.2
+  - model: KoboldAI/Mixtral-8x7B-Holodeck-v1
+    parameters:
+      density: 0.5
+      weight: 0.2
+  - model: mistralai/Mixtral-8x7B-Instruct-v0.1
+    parameters:
+      density: 0.6
+      weight: 1.0
+  - model: jondurbin/bagel-dpo-8x7b-v0.2
+    parameters:
+      density: 0.6
+      weight: 0.5
+merge_method: dare_ties
+dtype: bfloat16
+

model.safetensors.index.json

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