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Tess 10.7B V1.5B 8.0bpw H8 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Tess 10.7B V1.5B 8.0bpw H8 EXL2   URL Share it on

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  Autotrain compatible   Endpoints compatible   Exl2   Llama   Pytorch   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Tess-10.7B-v1.5b-8.0bpw-h8-exl2 

Tess 10.7B V1.5B 8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.16665
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tess 10.7B V1.5B 8.0bpw H8 EXL2 (LoneStriker/Tess-10.7B-v1.5b-8.0bpw-h8-exl2)

Tess 10.7B V1.5B 8.0bpw H8 EXL2 Parameters and Internals

Model Type 
text generation
Input Output 
Input Format:
SYSTEM: USER: ASSISTANT:
Accepted Modalities:
text
LLM NameTess 10.7B V1.5B 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Tess-10.7B-v1.5b-8.0bpw-h8-exl2 
Model Size10.7b
Required VRAM10.9 GB
Updated2025-01-15
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-2   2.3 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Tess-10.7B-v1.5b-8.0bpw-h8-exl2.

Rank the Tess 10.7B V1.5B 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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Release v20241227
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