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Vicuna 7B CoT by kevinpro

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Vicuna 7B CoT is an open-source language model by kevinpro. Features: 7b LLM, VRAM: 27GB, Context: 2K, LLM Explorer Score: 0.08.

  Arxiv:1910.09700   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/kevinpro/Vicuna-7B-CoT 

Vicuna 7B CoT Benchmarks

LLME Score: 0.07664
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 7B CoT (kevinpro/Vicuna-7B-CoT)
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Vicuna 7B CoT Parameters and Internals

LLM NameVicuna 7B CoT
Repository 🤗https://huggingface.co/kevinpro/Vicuna-7B-CoT 
Model Size7b
Required VRAM27 GB
Updated2026-03-29
Maintainerkevinpro
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Vocabulary Size32000
Torch Data Typefloat32

Quantized Models of the Vicuna 7B CoT

Model
Likes
Downloads
VRAM
Vicuna 7B CoT GGUF22902 GB
Vicuna 7B CoT AWQ103 GB
Vicuna 7B CoT GPTQ424 GB

Best Alternatives to Vicuna 7B CoT

Best Alternatives
Context / RAM
Downloads
Likes
1241024K / 16.1 GB930
1621024K / 16.1 GB600
1571024K / 16.1 GB1010
1181024K / 16.1 GB150
A5.41024K / 16.1 GB120
A6 L1024K / 16.1 GB2010
A3.41024K / 16.1 GB130
A2.41024K / 16.1 GB120
M1024K / 16.1 GB1270
2 Very Sci Fi1024K / 16.1 GB3170
Note: green Score (e.g. "73.2") means that the model is better than kevinpro/Vicuna-7B-CoT.

Rank the Vicuna 7B CoT 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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