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Yarn Mistral 7B 64K GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  Yarn Mistral 7B 64K GPTQ   URL Share it on

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  Arxiv:2309.00071   4-bit   Autotrain compatible Base model:nousresearch/yarn-m... Base model:quantized:nousresea...   Custom code Dataset:emozilla/yarn-train-to...   En   Gptq   Mistral   Quantized   Region:us   Safetensors   Yarn
Model Card on HF 🤗: https://huggingface.co/TheBloke/Yarn-Mistral-7B-64k-GPTQ 

Yarn Mistral 7B 64K GPTQ Benchmarks

LLME Score: 0.14402
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yarn Mistral 7B 64K GPTQ (TheBloke/Yarn-Mistral-7B-64k-GPTQ)

Yarn Mistral 7B 64K GPTQ Parameters and Internals

Model Type 
mistral
Additional Notes 
Model supports a 64k token context window.
Supported Languages 
en (Proficient)
Input Output 
Input Format:
{prompt}
Accepted Modalities:
text
Output Format:
Text
LLM NameYarn Mistral 7B 64K GPTQ
Repository 🤗https://huggingface.co/TheBloke/Yarn-Mistral-7B-64k-GPTQ 
Model NameYarn Mistral 7B 64K
Model CreatorNousResearch
Base Model(s)  Yarn Mistral 7B 64K   NousResearch/Yarn-Mistral-7b-64k
Model Size7b
Required VRAM4.2 GB
Updated2025-02-05
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yarn-Mistral-7B-64k-GPTQ.

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Release v20241227
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