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Openchat 3.6 8B 20240522 AWQ by vaclavkosar

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Openchat 3.6 8B 20240522 AWQ is an open-source language model by vaclavkosar. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: llama3, Quantized, LLM Explorer Score: 0.14.

  Arxiv:2309.11235   4-bit   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
Model Card on HF 🤗: https://huggingface.co/vaclavkosar/openchat-3.6-8b-20240522-AWQ 

Openchat 3.6 8B 20240522 AWQ Benchmarks

LLME Score: 0.13524
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 (vaclavkosar/openchat-3.6-8b-20240522-AWQ)
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Openchat 3.6 8B 20240522 AWQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
coding, chat, general tasks
Primary Use Cases:
coding, chat, general tasks
Limitations:
complex reasoning, mathematical and arithmetic tasks, programming challenges, hallucination of non-existent information, may generate harmful or biased responses
Considerations:
Users should verify critical information obtained from the model and apply additional AI safety measures as needed.
Additional Notes 
This model is optimized for deployment using vLLM and can use tensor parallelism for performance improvements.
Input Output 
Input Format:
JSON objects with message list and 'role' and 'content' fields
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Set `<|end_of_turn|>` as end of generation token for best performance.
LLM NameOpenchat 3.6 8B 20240522 AWQ
Repository 🤗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
Updated2026-04-18
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

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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.

Rank the Openchat 3.6 8B 20240522 AWQ 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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