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Tess 10.7B V1.5B AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Tess 10.7B V1.5B AWQ   URL Share it on

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

Tess 10.7B V1.5B AWQ Benchmarks

LLME Score: 0.17212
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 AWQ (TheBloke/Tess-10.7B-v1.5b-AWQ)

Tess 10.7B V1.5B AWQ Parameters and Internals

Model Type 
solar
Input Output 
Input Format:
SYSTEM: {system_message} USER: {prompt} ASSISTANT:
LLM NameTess 10.7B V1.5B AWQ
Repository 🤗https://huggingface.co/TheBloke/Tess-10.7B-v1.5b-AWQ 
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
Updated2024-12-21
MaintainerTheBloke
Model Typesolar
Model Files  6.0 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
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-10.7B-v1.5b-AWQ.

Rank the Tess 10.7B V1.5B 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  
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Release v20241217
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