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Yarn Mistral 7B 64K Instruct Alpaca Cleaned Q4 by FlexingD

 »  All LLMs  »  FlexingD  »  Yarn Mistral 7B 64K Instruct Alpaca Cleaned Q4   URL Share it on

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  8-bit   Autotrain compatible Base model:nousresearch/yarn-m... Base model:quantized:nousresea...   Bitsandbytes   Custom code   Endpoints compatible   Instruct   Mistral   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Yarn
Model Card on HF 🤗: https://huggingface.co/FlexingD/yarn-mistral-7B-64k-instruct-alpaca-cleaned-Q4 

Yarn Mistral 7B 64K Instruct Alpaca Cleaned Q4 Benchmarks

LLME Score: 0.1485
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 Instruct Alpaca Cleaned Q4 (FlexingD/yarn-mistral-7B-64k-instruct-alpaca-cleaned-Q4)

Yarn Mistral 7B 64K Instruct Alpaca Cleaned Q4 Parameters and Internals

Model Type 
Text Generation
Supported Languages 
English (Proficient)
Training Details 
Training Time:
37hs
Hardware Used:
Ryzen 4090
LLM NameYarn Mistral 7B 64K Instruct Alpaca Cleaned Q4
Repository 🤗https://huggingface.co/FlexingD/yarn-mistral-7B-64k-instruct-alpaca-cleaned-Q4 
Base Model(s)  Yarn Mistral 7B 64K   NousResearch/Yarn-Mistral-7b-64k
Model Size7b
Required VRAM7.6 GB
Updated2025-02-05
MaintainerFlexingD
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Quantization Typeq4
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
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 FlexingD/yarn-mistral-7B-64k-instruct-alpaca-cleaned-Q4.

Rank the Yarn Mistral 7B 64K Instruct Alpaca Cleaned Q4 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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