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Mistral 7B Unsloth Gptq 8bit by acl-srw-2024

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  8-bit   8bit   Autotrain compatible   Endpoints compatible   Gptq   Mistral   Quantized   Region:us

Mistral 7B Unsloth Gptq 8bit Benchmarks

LLME Score: 0.22125
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral 7B Unsloth Gptq 8bit Parameters and Internals

LLM NameMistral 7B Unsloth Gptq 8bit
Repository 🤗https://huggingface.co/acl-srw-2024/mistral-7b-unsloth-gptq-8bit 
Model Size7b
Required VRAM7.7 GB
Updated2024-09-07
Maintaineracl-srw-2024
Model Typemistral
Model Files  7.7 GB
GPTQ QuantizationYes
Quantization Typegptq|8bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typefloat16
Mistral 7B Unsloth Gptq 8bit (acl-srw-2024/mistral-7b-unsloth-gptq-8bit)

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Note: green Score (e.g. "73.2") means that the model is better than acl-srw-2024/mistral-7b-unsloth-gptq-8bit.

Rank the Mistral 7B Unsloth Gptq 8bit Capabilities

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Release v2024072803
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