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Vicuna 7B V1.5 16K by lmsys

 »  All LLMs  »  lmsys  »  Vicuna 7B V1.5 16K   URL Share it on

  7418   
  Arxiv:2306.05685   Arxiv:2307.09288   Autotrain compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/lmsys/vicuna-7b-v1.5-16k 

Vicuna 7B V1.5 16K Benchmarks

ARC: 72.1 vs 96.7 (so35)-25.4%
HellaSwag: 72.4 vs 95.3 (gpt4)-24%
MMLU: 49.6 vs 88.3 (so35)-43.8%
TruthfulQA: 50.35 vs 59 (gpt4)-14.7%
WinoGrande: 71.03 vs 87.5 (gpt4)-18.8%
GSM8K: 22 vs 96.4 (so35)-77.2%
OpenCompas: 46.9 vs 73.3 (gpt4)-36%
Exam: 51.5 vs 77.2 (gpt4)-33.3%
Language: 35.9 vs 62 (gpt4)-42.1%
Knowledge: 53 vs 73.5 (gpt4)-27.9%
Understand: 59 vs 70 (gpt4)-15.7%
Reasoning: 42.7 vs 74.4 (gpt4)-42.6%
LLME Score: 0.16569
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 7B V1.5 16K (lmsys/vicuna-7b-v1.5-16k)
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Vicuna 7B V1.5 16K Parameters and Internals

Model Type 
Auto-regressive language model
Use Cases 
Areas:
Research on large language models and chatbots
Training Details 
Data Sources:
ShareGPT
Data Volume:
125K conversations
Methodology:
Supervised instruction fine-tuning and linear RoPE scaling
Context Length:
16000
Model Architecture:
Transformer architecture
LLM NameVicuna 7B V1.5 16K
Repository 🤗https://huggingface.co/lmsys/vicuna-7b-v1.5-16k 
Model Size7b
Required VRAM13.5 GB
Updated2025-08-18
Maintainerlmsys
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Vicuna 7B V1.5 16K

Model
Likes
Downloads
VRAM
Vicuna 7B V1.5 16K GGUF92322 GB
Vicuna 7B V1.5 16K AWQ183 GB
Vicuna 7B V1.5 16K GPTQ10183 GB
Vicuna 7B V1.5 16K GGML1322 GB

Best Alternatives to Vicuna 7B V1.5 16K

Best Alternatives
Context / RAM
Downloads
Likes
A6 L1024K / 16.1 GB2010
A3.41024K / 16.1 GB130
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M1024K / 16.1 GB1270
A2.41024K / 16.1 GB120
1571024K / 16.1 GB1010
1241024K / 16.1 GB930
1621024K / 16.1 GB600
2 Very Sci Fi1024K / 16.1 GB3170
1181024K / 16.1 GB150
Note: green Score (e.g. "73.2") means that the model is better than lmsys/vicuna-7b-v1.5-16k.

Rank the Vicuna 7B V1.5 16K 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 v20241124
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