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Tess 7B V2.0 AWQ by solidrust

 »  All LLMs  »  solidrust  »  Tess 7B V2.0 AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:migtissera/tess-7b-... Base model:quantized:migtisser...   Chatml   Conversational   En   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/solidrust/Tess-7B-v2.0-AWQ 

Tess 7B V2.0 AWQ Benchmarks

ARC: 55.89 vs 96.7 (so35)-42.2%
HellaSwag: 76.66 vs 95.3 (gpt4)-19.6%
MMLU: 52.05 vs 88.3 (so35)-41.1%
TruthfulQA: 44.33 vs 59 (gpt4)-24.9%
WinoGrande: 67.64 vs 87.5 (gpt4)-22.7%
GSM8K: 24.87 vs 96.4 (so35)-74.2%
LLME Score: 0.21083
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tess 7B V2.0 AWQ (solidrust/Tess-7B-v2.0-AWQ)

Tess 7B V2.0 AWQ Parameters and Internals

Model Type 
mistral, text generation
Use Cases 
Applications:
General purpose text generation
Limitations:
Can occasionally produce inaccurate or misleading results, Possibility of generating inappropriate, biased, or offensive content
Supported Languages 
en (High)
Input Output 
Input Format:
ChatML format with system and user prompts.
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Ensure appropriate hardware (NVIDIA GPU) for optimal performance.
LLM NameTess 7B V2.0 AWQ
Repository 🤗https://huggingface.co/solidrust/Tess-7B-v2.0-AWQ 
Model NameTess-7B-v2.0
Model Creatormigtissera
Base Model(s)  migtissera/Tess-7B-v2.0   migtissera/Tess-7B-v2.0
Model Size7b
Required VRAM4.2 GB
Updated2024-12-21
Maintainersolidrust
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
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 solidrust/Tess-7B-v2.0-AWQ.

Rank the Tess 7B V2.0 AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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