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Yarn Mistral 7B 128K by NousResearch

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

  15239   
  Arxiv:2309.00071   Autotrain compatible   Custom code Dataset:emozilla/yarn-train-to...   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded   Yarn
Model Card on HF 🤗: https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k 

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: 2.87
LLME Score: 0.29976
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 (NousResearch/Yarn-Mistral-7b-128k)

Yarn Mistral 7B 128K Parameters and Internals

Model Type 
language model
Supported Languages 
en (Fluent)
Training Details 
Data Sources:
emozi/ya-rn-train-tokenized-16k-mistral
Methodology:
YaRN extension method
Context Length:
128000
Training Time:
1500 steps
Input Output 
Accepted Modalities:
text
LLM NameYarn Mistral 7B 128K
Repository 🤗https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k 
Model Size7b
Required VRAM14.4 GB
Updated2025-01-14
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

Quantized Models of the Yarn Mistral 7B 128K

Model
Likes
Downloads
VRAM
Yarn Mistral 7B 128K GGUF12923753 GB
Yarn Mistral 7B 128K AWQ717394 GB
Yarn Mistral 7B 128K GPTQ13734 GB

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than NousResearch/Yarn-Mistral-7b-128k.

Rank the Yarn Mistral 7B 128K 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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Release v20241227
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