Tess 2.0 Llama 3 8B 8.0bpw H8 EXL2 by LoneStriker

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  8-bit   Autotrain compatible   Conversational   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Safetensors

Tess 2.0 Llama 3 8B 8.0bpw H8 EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tess 2.0 Llama 3 8B 8.0bpw H8 EXL2 (LoneStriker/Tess-2.0-Llama-3-8B-8.0bpw-h8-exl2)

Tess 2.0 Llama 3 8B 8.0bpw H8 EXL2 Parameters and Internals

Model Type 
text generation
Training Details 
Data Volume:
~100K high-quality code and general training samples
Methodology:
Tess-2.0 was fine-tuned for 1-epoch with a low learning rate.
Input Output 
Input Format:
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|> Who are you?<|eot_id|><|start_header_id|>assistant<|end_header_id>
Output Format:
Remarks from the assistant
LLM NameTess 2.0 Llama 3 8B 8.0bpw H8 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Tess-2.0-Llama-3-8B-8.0bpw-h8-exl2 
Model Size8b
Required VRAM8.5 GB
Updated2025-02-22
MaintainerLoneStriker
Model Typellama
Model Files  8.5 GB
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Tess-2.0-Llama-3-8B-8.0bpw-h8-exl2.

Rank the Tess 2.0 Llama 3 8B 8.0bpw H8 EXL2 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