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Mistral 7B V0.1 Hf by kittn

 »  All LLMs  »  kittn  »  Mistral 7B V0.1 Hf   URL Share it on

  1871   
  Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/kittn/mistral-7B-v0.1-hf 

Mistral 7B V0.1 Hf Benchmarks

LLME Score: 0.12677
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B V0.1 Hf (kittn/mistral-7B-v0.1-hf)
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Mistral 7B V0.1 Hf Parameters and Internals

Model Type 
text generation
Additional Notes 
The original huggingface conversion script converts the model from bf16 to fp16 before saving it. This script doesn't. The tokenizer is created with `legacy=False`. Saved in safetensors format.
Input Output 
Accepted Modalities:
text
Performance Tips:
Using BitsAndBytesConfig with load_in_4bit=True and setting bnb_4bit_use_double_quant to True saves more VRAM at the cost of some speed/accuracy.
LLM NameMistral 7B V0.1 Hf
Repository 🤗https://huggingface.co/kittn/mistral-7B-v0.1-hf 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
Maintainerkittn
Model Typellama
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than kittn/mistral-7B-v0.1-hf.

Rank the Mistral 7B V0.1 Hf Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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