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Yarn Mistral 7B 128K GPTQ by TheBloke

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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

Yarn Mistral 7B 128K GPTQ Benchmarks

LLME Score: 0.16791
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 128K GPTQ Parameters and Internals

LLM NameYarn Mistral 7B 128K GPTQ
Repository 🤗https://huggingface.co/TheBloke/Yarn-Mistral-7B-128k-GPTQ 
Model NameYarn Mistral 7B 128K
Model CreatorNousResearch
Base Model(s)  Yarn Mistral 7B 128K   NousResearch/Yarn-Mistral-7b-128k
Model Size7b
Required VRAM4.2 GB
Updated2024-09-19
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
Yarn Mistral 7B 128K GPTQ (TheBloke/Yarn-Mistral-7B-128k-GPTQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yarn-Mistral-7B-128k-GPTQ.

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Release v2024072803
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