Openchat 3.5 0106 Gemma by openchat

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  Arxiv:2309.11235   Autotrain compatible   Conversational   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow

Openchat 3.5 0106 Gemma Benchmarks

Openchat 3.5 0106 Gemma (openchat/openchat-3.5-0106-gemma)

Openchat 3.5 0106 Gemma Parameters and Internals

Model Type 
text generation
Use Cases 
Limitations:
may generate hallucinations, may generate harmful or biased content
Considerations:
Additional AI safety measures are recommended for critical applications.
Additional Notes 
Users are advised to verify critical information due to potential hallucinations.
Training Details 
Data Sources:
openchat-3.5-0106
Data Volume:
6T pre-training tokens
Methodology:
C-RLFT
Context Length:
8192
Safety Evaluation 
Risk Categories:
hallucinations, harm, hate speech, bias
Ethical Considerations:
Users should verify critical information due to potential hallucinations.
Input Output 
Input Format:
API requests
Accepted Modalities:
text
Output Format:
Text response
Release Notes 
Notes:
The model is optimized for high throughput deployment using vLLM.
LLM NameOpenchat 3.5 0106 Gemma
Repository ๐Ÿค—https://huggingface.co/openchat/openchat-3.5-0106-gemma 
Model Size8.5b
Required VRAM17.1 GB
Updated2025-02-05
Maintaineropenchat
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Rank the Openchat 3.5 0106 Gemma 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227