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Tess 7B V1.4 GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:migtissera/tess-7b-... Base model:quantized:migtisser...   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Tess-7B-v1.4-GPTQ 

Tess 7B V1.4 GPTQ Benchmarks

LLME Score: 0.15757
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tess 7B V1.4 GPTQ (TheBloke/Tess-7B-v1.4-GPTQ)

Tess 7B V1.4 GPTQ Parameters and Internals

Model Type 
mistral
Input Output 
Input Format:
SYSTEM: {system_message} USER: {prompt} ASSISTANT:
Accepted Modalities:
text
LLM NameTess 7B V1.4 GPTQ
Repository 🤗https://huggingface.co/TheBloke/Tess-7B-v1.4-GPTQ 
Model NameTess 7B V1.4
Model CreatorMigel Tissera
Base Model(s)  migtissera/Tess-7B-v1.4   migtissera/Tess-7B-v1.4
Model Size7b
Required VRAM4.2 GB
Updated2024-12-26
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Tess-7B-v1.4-GPTQ.

Rank the Tess 7B V1.4 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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Release v20241217
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