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Yarn Mistral 7B 128K GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  Yarn Mistral 7B 128K 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

Yarn Mistral 7B 128K GPTQ Benchmarks

LLME Score: 0.15752
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

Model Type 
mistral
Use Cases 
Areas:
Research, Commercial applications
Applications:
AI development, Model training
Primary Use Cases:
Text generation with long context
Limitations:
May require specific hardware configurations
Considerations:
Consider model size and quantization needs based on performance requirements.
Additional Notes 
Model optimized for long context use cases using YaRN.
Supported Languages 
en (English)
Training Details 
Data Sources:
(not specified, related to original Yarn datasets)
Data Volume:
(not specified)
Methodology:
YaRN extension for long context
Context Length:
131072
Training Time:
(not specified)
Hardware Used:
JUWELS supercomputer
Model Architecture:
Mistral-7B extended for long-context with 128k tokens
Responsible Ai Considerations 
Fairness:
(not specified)
Transparency:
(not specified)
Accountability:
(not specified)
Mitigation Strategies:
(not specified)
Input Output 
Input Format:
{prompt}
Accepted Modalities:
text
Output Format:
Generated text based on the prompt.
Performance Tips:
Select appropriate quantization parameters for optimal performance.
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
Updated2024-11-21
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.

Rank the Yarn Mistral 7B 128K GPTQ 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 v20241110
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