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Yarn Mistral 7B 128K by NousResearch

 »  All LLMs  »  NousResearch  »  Yarn Mistral 7B 128K   URL Share it on

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  Arxiv:2309.00071   Autotrain compatible   Custom code Dataset:emozilla/yarn-train-to...   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded   Yarn

Yarn Mistral 7B 128K Benchmarks

MMLU Pro: 21.03
GPQA: 6.49
MUSR: 8.95
BBH: 20.63
IFEval: 19.34 vs 88 (so35)-78%
ARC: 59.64 vs 96.7 (so35)-38.3%
HellaSwag: 82.5 vs 95.3 (gpt4)-13.4%
MMLU: 63.02 vs 88.3 (so35)-28.6%
TruthfulQA: 41.78 vs 59 (gpt4)-29.2%
WinoGrande: 76.95 vs 87.5 (gpt4)-12.1%
GSM8K: 32.6 vs 96.4 (so35)-66.2%
MATH Lvl 5: 2.49
LLME Score: 0.33656
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 Parameters and Internals

LLM NameYarn Mistral 7B 128K
Repository 🤗https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-18
MaintainerNousResearch
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Yarn Mistral 7B 128K (NousResearch/Yarn-Mistral-7b-128k)

Quantized Models of the Yarn Mistral 7B 128K

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Yarn Mistral 7B 128K GGUF12937773 GB
Yarn Mistral 7B 128K AWQ697344 GB
Yarn Mistral 7B 128K GPTQ13484 GB

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Rank the Yarn Mistral 7B 128K Capabilities

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Release v2024072803
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