Init
Browse files- .gitattributes +2 -0
- README.md +109 -0
- added_tokens.json +5 -0
- config.json +25 -0
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- special_tokens_map.json +10 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: llama2
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---
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---
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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datasets:
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- jondurbin/airoboros-2.2.1
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- Open-Orca/OpenOrca
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- garage-bAInd/Open-Platypus
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- ehartford/samantha-data
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- stingning/ultrachat
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tags:
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- llama-2
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- code
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license: llama2
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model-index:
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- name: SpeechlessCoder
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results:
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- task:
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type: text-generation
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dataset:
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type: openai_humaneval
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name: HumanEval
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metrics:
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- name: pass@1
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type: pass@1
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value: 34.146
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verified: false
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---
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<p><h1> speechless-mistral-six-in-one-7b </h1></p>
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# JUST for TEST!
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This model is a merge of 6 SOTA Mistral-7B based models:
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- ehartford/dolphin-2.1-mistral-7b
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- Open-Orca/Mistral-7B-OpenOrca
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- bhenrym14/mistral-7b-platypus-fp16
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- ehartford/samantha-1.2-mistral-7b
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- iteknium/CollectiveCognition-v1.1-Mistral-7B
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- CollectiveCognition/chats-data-2023-09-27
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- HuggingFaceH4/zephyr-7b-alpha
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## HumanEval
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| Metric | Value |
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| --- | --- |
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| humaneval-python | |
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[Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard)
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CodeLlama-34B-Python: 53.29
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CodeLlama-34B-Instruct: 50.79
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CodeLlama-13B-Instruct: 50.6
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CodeLlama-34B: 45.11
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CodeLlama-13B-Python: 42.89
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CodeLlama-13B: 35.07
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Mistral-7B-v0.1: 30.488
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## LM-Evaluation-Harness
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[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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| Metric | Value |
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| --- | --- |
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| ARC | |
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| HellaSwag | |
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| MMLU | |
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| TruthfulQA | |
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| Average | |
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# Model Card for Mistral-7B-v0.1
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The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters.
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Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.
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For full details of this model please read our [paper](https://arxiv.org/abs/2310.06825) and [release blog post](https://mistral.ai/news/announcing-mistral-7b/).
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## Model Architecture
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Mistral-7B-v0.1 is a transformer model, with the following architecture choices:
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- Grouped-Query Attention
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- Sliding-Window Attention
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- Byte-fallback BPE tokenizer
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## Troubleshooting
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- If you see the following error:
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``
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KeyError: 'mistral'
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``
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- Or:
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``
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NotImplementedError: Cannot copy out of meta tensor; no data!
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``
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Ensure you are utilizing a stable version of Transformers, 4.34.0 or newer.
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## Notice
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Mistral 7B is a pretrained base model and therefore does not have any moderation mechanisms.
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## The Mistral AI Team
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Albert Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed.`
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added_tokens.json
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config.json
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"_name_or_path": "/opt/local/llm_models/huggingface.co/mistralai/Mistral-7B-v0.1",
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"architectures": [
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"MistralForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.34.0",
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"use_cache": true,
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"vocab_size": 32000
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29 |
+
"<unk>",
|
30 |
+
"<s>",
|
31 |
+
"</s>"
|
32 |
+
],
|
33 |
+
"bos_token": "<s>",
|
34 |
+
"clean_up_tokenization_spaces": false,
|
35 |
+
"eos_token": "</s>",
|
36 |
+
"legacy": true,
|
37 |
+
"model_max_length": 1000000000000000019884624838656,
|
38 |
+
"pad_token": null,
|
39 |
+
"sp_model_kwargs": {},
|
40 |
+
"spaces_between_special_tokens": false,
|
41 |
+
"tokenizer_class": "LlamaTokenizer",
|
42 |
+
"unk_token": "<unk>",
|
43 |
+
"use_default_system_prompt": true
|
44 |
+
}
|