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Openchat 3.6 8B 20240522 Vllm Fp8 by FlorianJc

 »  All LLMs  »  FlorianJc  »  Openchat 3.6 8B 20240522 Vllm Fp8   URL Share it on

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  Arxiv:2309.11235   Autotrain compatible Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   C-rlft   Conversational   Fp8   Llama   Llama3   Openchat   Region:us   Safetensors   Sharded   Tensorflow   Vllm
Model Card on HF 🤗: https://huggingface.co/FlorianJc/openchat-3.6-8b-20240522-vllm-fp8 

Openchat 3.6 8B 20240522 Vllm Fp8 Benchmarks

LLME Score: 0.19711
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 Vllm Fp8 (FlorianJc/openchat-3.6-8b-20240522-vllm-fp8)

Openchat 3.6 8B 20240522 Vllm Fp8 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model is quantized to FP8 weights and activations using per-tensor quantization, ready for inference.
LLM NameOpenchat 3.6 8B 20240522 Vllm Fp8
Repository 🤗https://huggingface.co/FlorianJc/openchat-3.6-8b-20240522-vllm-fp8 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM9.1 GB
Updated2025-02-05
MaintainerFlorianJc
Model Typellama
Model Files  5.0 GB: 1-of-2   4.1 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
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 FlorianJc/openchat-3.6-8b-20240522-vllm-fp8.

Rank the Openchat 3.6 8B 20240522 Vllm Fp8 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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