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Tess 7B V1.4 AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Tess 7B V1.4 AWQ   URL Share it on

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

Tess 7B V1.4 AWQ Benchmarks

LLME Score: 0.15416
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 AWQ (TheBloke/Tess-7B-v1.4-AWQ)

Tess 7B V1.4 AWQ Parameters and Internals

Model Type 
mistral
Input Output 
Input Format:
SYSTEM: {system_message} USER: {prompt} ASSISTANT:
LLM NameTess 7B V1.4 AWQ
Repository 🤗https://huggingface.co/TheBloke/Tess-7B-v1.4-AWQ 
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
Updated2025-01-14
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
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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Mahou 1.3a Mistral 7B AWQ32K / 4.2 GB201
...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB90
Mistral 7B Instruct V0.1 AWQ32K / 4.2 GB3585737
Tess 7B V2.0 AWQ32K / 4.2 GB141
Mahou 1.3 Mistral 7B AWQ32K / 4.2 GB210
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Tess-7B-v1.4-AWQ.

Rank the Tess 7B V1.4 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 v20241227
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