Tess M V1.3 AWQ by TheBloke

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Tess M V1.3 AWQ is an open-source language model by TheBloke. Features: 34.4b LLM, VRAM: 19.3GB, Context: 195K, License: other, Quantized, LLM Explorer Score: 0.1.

  4-bit   Awq Base model:migtissera/tess-m-v... Base model:quantized:migtisser...   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Tess M V1.3 AWQ Benchmarks

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 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
Updated2026-05-16
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

Best Alternatives to Tess M V1.3 AWQ

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Context / RAM
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Pallas 0.5 LASER 0.6 AWQ195K / 19.3 GB61
Pallas 0.5 AWQ195K / 19.3 GB61
Pallas 0.3 AWQ195K / 19.3 GB91
Pallas 0.4 AWQ195K / 19.3 GB51
Tess M V1.2 AWQ195K / 19.3 GB61
Tess M V1.1 AWQ195K / 19.3 GB81
Tess M Creative V1.0 AWQ195K / 19.3 GB91
PiVoT SUS RP AWQ8K / 19.3 GB61
Pallas 0.5 LASER 0.5195K / 68.9 GB2130
Pallas 0.5 LASER 0.4195K / 68.9 GB2171
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  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a