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Functionary Medium V3.0 AWQ by meetkai

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Model Card on HF 🤗: https://huggingface.co/meetkai/functionary-medium-v3.0-AWQ 

Functionary Medium V3.0 AWQ Benchmarks

LLME Score: 0.20072
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Functionary Medium V3.0 AWQ (meetkai/functionary-medium-v3.0-AWQ)

Functionary Medium V3.0 AWQ Parameters and Internals

LLM NameFunctionary Medium V3.0 AWQ
Repository 🤗https://huggingface.co/meetkai/functionary-medium-v3.0-AWQ 
Model Size11.3b
Required VRAM39.9 GB
Updated2025-01-16
Maintainermeetkai
Model Typellama
Model Files  5.0 GB: 1-of-9   4.9 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   3.4 GB: 8-of-9   2.1 GB: 9-of-9
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

Best Alternatives to Functionary Medium V3.0 AWQ

Best Alternatives
Context / RAM
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...T Agents Llama3 5.0.95 DPO AWQ8K / 39.9 GB290
...T Agents Llama3 5.0.79 SFT AWQ8K / 39.9 GB230
Note: green Score (e.g. "73.2") means that the model is better than meetkai/functionary-medium-v3.0-AWQ.

Rank the Functionary Medium V3.0 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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