ExLLaMA V2 quant of airoboros-mistral2.2-7b-6.0bpw-h6-exl2

README.md

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+---
+base_model: mistralai/Mistral-7b-V0.1
+tags:
+- llama-2
+- instruct
+- finetune
+- alpaca
+- gpt4
+- synthetic data
+- distillation
+datasets:
+- jondurbin/airoboros-2.2.1
+model-index:
+- name: airoboros2.2-mistral-7b
+  results: []
+license: mit
+language:
+- en
+---
+
+Mistral trained with the airoboros dataset!
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6317aade83d8d2fd903192d9/sbN_PCdxO_LV0xpFGA_St.png)
+
+Actual dataset is airoboros 2.2, but it seems to have been replaced on hf with 2.2.1.
+
+Prompt Format:
+```
+USER: <prompt>
+ASSISTANT:
+```
+
+
+TruthfulQA:
+
+```
+hf-causal-experimental (pretrained=/home/teknium/dakota/lm-evaluation-harness/airoboros2.2-mistral/,dtype=float16), limit: None, provide_description: False, num_fewshot: 0, batch_size: 8
+|    Task     |Version|Metric|Value |   |Stderr|
+|-------------|------:|------|-----:|---|-----:|
+|truthfulqa_mc|      1|mc1   |0.3562|±  |0.0168|
+|             |       |mc2   |0.5217|±  |0.0156|
+```
+
+
+Wandb training charts: https://wandb.ai/teknium1/airoboros-mistral-7b/runs/airoboros-mistral-1?workspace=user-teknium1
+
+More info to come

added_tokens.json

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+  "<unk>": 0
+}

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "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": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.34.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.34.0.dev0"
+}

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