Openchat 3.6 8B 20240522 AWQ by vaclavkosar

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  Arxiv:2309.11235   4-bit   Autotrain compatible   Awq Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   C-rlft   Conversational   Endpoints compatible   Llama   Llama3   Openchat   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Openchat 3.6 8B 20240522 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Openchat 3.6 8B 20240522 AWQ Parameters and Internals

LLM NameOpenchat 3.6 8B 20240522 AWQ
Repository ๐Ÿค—https://huggingface.co/vaclavkosar/openchat-3.6-8b-20240522-AWQ 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM5.8 GB
Updated2024-09-07
Maintainervaclavkosar
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16
Openchat 3.6 8B 20240522 AWQ (vaclavkosar/openchat-3.6-8b-20240522-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than vaclavkosar/openchat-3.6-8b-20240522-AWQ.

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803