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Tess M V1.3 AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Tess M V1.3 AWQ   URL Share it on

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  4-bit   Awq Base model:migtissera/tess-m-v... Base model:quantized:migtisser...   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Tess-M-v1.3-AWQ 

Tess M V1.3 AWQ Benchmarks

LLME Score: 0.11919
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tess M V1.3 AWQ (TheBloke/Tess-M-v1.3-AWQ)
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Tess M V1.3 AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
The model has been tested on context lengths up to 16K. It produced slight repetition around 16K context length. It is recommended to test the model according to your use case and limit the context length.
Input Output 
Input Format:
SYSTEM: {system_message} USER: {prompt} ASSISTANT:
Release Notes 
Version:
1.3
Notes:
This version is the stable release. The issues that were present in versions 1.0, 1.1 and 1.2 all have been rectified. Thank you for your patience while R&D was conducted.
LLM NameTess M V1.3 AWQ
Repository 🤗https://huggingface.co/TheBloke/Tess-M-v1.3-AWQ 
Model NameTess M v1.3
Model CreatorMigel Tissera
Base Model(s)  migtissera/Tess-M-v1.3   migtissera/Tess-M-v1.3
Model Size34.4b
Required VRAM19.3 GB
Updated2026-01-21
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   9.3 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Tess-M-v1.3-AWQ.

Rank the Tess M V1.3 AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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