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Yarn Mistral 7B 64K AWQ by TheBloke

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

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

Yarn Mistral 7B 64K AWQ Benchmarks

LLME Score: 0.14346
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 AWQ (TheBloke/Yarn-Mistral-7B-64k-AWQ)

Yarn Mistral 7B 64K AWQ Parameters and Internals

Model Type 
mistral
Use Cases 
Areas:
long-context modeling
Additional Notes 
Quantized models are available for more efficient inference. The overseeing team suggests using the latest versions of supported tools to ensure compatibility.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
emo Mozilla's yarn-train-tokenized-16k-mistral
Methodology:
YaRN extension method
Context Length:
64000
Training Time:
1000 steps
Hardware Used:
JUWELS supercomputer
Model Architecture:
Extended version of Mistral-7B-v0.1
Input Output 
Input Format:
{"{prompt} "}
Accepted Modalities:
text
LLM NameYarn Mistral 7B 64K AWQ
Repository 🤗https://huggingface.co/TheBloke/Yarn-Mistral-7B-64k-AWQ 
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
AWQ QuantizationYes
Quantization Typeawq
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-AWQ.

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