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Openchat 3.6 8B 20240522 Ov Int4 by fakezeta

 »  All LLMs  »  fakezeta  »  Openchat 3.6 8B 20240522 Ov Int4   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   Openvino   Region:us
Model Card on HF 🤗: https://huggingface.co/fakezeta/openchat-3.6-8b-20240522-ov-int4 

Openchat 3.6 8B 20240522 Ov Int4 Benchmarks

LLME Score: 0.1949
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 Ov Int4 (fakezeta/openchat-3.6-8b-20240522-ov-int4)

Openchat 3.6 8B 20240522 Ov Int4 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
coding, chat and general tasks
Limitations:
complex reasoning, mathematical and arithmetic tasks, programming and coding challenges
Considerations:
OpenChat may generate harmful, hate speech, biased responses, or answer unsafe questions.
Additional Notes 
The server is optimized for high-throughput deployment using vLLM.
Input Output 
Input Format:
tokenized input
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
To enable tensor parallelism, append `--tensor-parallel-size N` to the serving command.
LLM NameOpenchat 3.6 8B 20240522 Ov Int4
Repository 🤗https://huggingface.co/fakezeta/openchat-3.6-8b-20240522-ov-int4 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM0 GB
Updated2025-02-22
Maintainerfakezeta
Model Typellama
Model Files  0.0 GB   5.3 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256

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Note: green Score (e.g. "73.2") means that the model is better than fakezeta/openchat-3.6-8b-20240522-ov-int4.

Rank the Openchat 3.6 8B 20240522 Ov Int4 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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