Tess M V1.3 GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:migtissera/tess-m-v... Base model:quantized:migtisser...   Gptq   Llama   Quantized   Region:us   Safetensors

Tess M V1.3 GPTQ 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 GPTQ (TheBloke/Tess-M-v1.3-GPTQ)
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Tess M V1.3 GPTQ Parameters and Internals

Model Type 
llama
Additional Notes 
This model has been quantized using GPTQ with multiple versions supporting different bit sizes and settings, offering flexible VRAM requirements.
Input Output 
Input Format:
SYSTEM: {system_message} USER: {prompt} ASSISTANT:
LLM NameTess M V1.3 GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Tess-M-v1.3-GPTQ 
Model NameTess M v1.3
Model CreatorMigel Tissera
Base Model(s)  migtissera/Tess-M-v1.3   migtissera/Tess-M-v1.3
Model Size5.1b
Required VRAM18.6 GB
Updated2025-09-15
MaintainerTheBloke
Model Typellama
Model Files  18.6 GB
GPTQ QuantizationYes
Quantization Typegptq
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-GPTQ.

Rank the Tess M V1.3 GPTQ Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124