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Tess 10.7B V1.5B GPTQ by TheBloke

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Tess 10.7B V1.5B GPTQ is an open-source language model by TheBloke. Features: 10.7b LLM, VRAM: 6GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

  4-bit Base model:migtissera/tess-10.... Base model:quantized:migtisser...   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Tess-10.7B-v1.5b-GPTQ 

Tess 10.7B V1.5B GPTQ Benchmarks

LLME Score: 0.11674
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 GPTQ (TheBloke/Tess-10.7B-v1.5b-GPTQ)
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Tess 10.7B V1.5B GPTQ Parameters and Internals

Model Type 
solar
Input Output 
Input Format:
SYSTEM: {system_message} USER: {prompt} ASSISTANT:
LLM NameTess 10.7B V1.5B GPTQ
Repository 🤗https://huggingface.co/TheBloke/Tess-10.7B-v1.5b-GPTQ 
Model NameTess 10.7B V1.5B
Model CreatorMigel Tissera
Base Model(s)  migtissera/Tess-10.7B-v1.5b   migtissera/Tess-10.7B-v1.5b
Model Size10.7b
Required VRAM6 GB
Updated2026-03-03
MaintainerTheBloke
Model Typesolar
Model Files  6.0 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the Tess 10.7B V1.5B GPTQ 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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