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Openchat 3.6 8B 20240522 by openchat

 »  All LLMs  »  openchat  »  Openchat 3.6 8B 20240522   URL Share it on

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  Arxiv:2309.11235   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   C-rlft   Conversational   Endpoints compatible   Llama   Llama3   Openchat   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/openchat/openchat-3.6-8b-20240522 

Openchat 3.6 8B 20240522 Benchmarks

MMLU Pro: 24.77
GPQA: 9.06
MUSR: 8.18
BBH: 33.23
IFEval: 53.43 vs 88 (so35)-39.3%
ARC: 62.46 vs 96.7 (so35)-35.4%
HellaSwag: 80.86 vs 95.3 (gpt4)-15.2%
MMLU: 66.56 vs 88.3 (so35)-24.6%
TruthfulQA: 48.42 vs 59 (gpt4)-17.9%
WinoGrande: 78.77 vs 87.5 (gpt4)-10%
GSM8K: 71.8 vs 96.4 (so35)-25.5%
MATH Lvl 5: 9.97
LLME Score: 0.28751
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 (openchat/openchat-3.6-8b-20240522)
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Openchat 3.6 8B 20240522 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
coding, chat, general tasks
Applications:
research, commercial
Primary Use Cases:
coding, general conversation, creative writing
Limitations:
complex reasoning, mathematical tasks, programming challenges
Considerations:
Verify critical information and apply safety measures
Additional Notes 
OpenChat can run on high-throughput servers optimized for deployment
Training Details 
Methodology:
Using mixed-quality data
Context Length:
8192
Model Architecture:
Derived from Meta-Llama model
Input Output 
Input Format:
OpenAI ChatCompletion API specifications
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use tensor parallelism for efficiency
LLM NameOpenchat 3.6 8B 20240522
Repository 🤗https://huggingface.co/openchat/openchat-3.6-8b-20240522 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-09-23
Maintaineropenchat
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Openchat 3.6 8B 20240522 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 v20241124
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