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Rank Vicuna 7B V1 Fp16 by castorini

 »  All LLMs  »  castorini  »  Rank Vicuna 7B V1 Fp16   URL Share it on

  1414   
  Arxiv:2307.09288   Arxiv:2309.15088   Autotrain compatible   En   Fp16   Information retrieval   Llama   Pytorch   Quantized   Region:us   Reranker   Sharded
Model Card on HF 🤗: https://huggingface.co/castorini/rank_vicuna_7b_v1_fp16 

Rank Vicuna 7b V1 Fp16 Benchmarks

ARC: 44.62 vs 96.7 (so35)-53.9%
HellaSwag: 65.67 vs 95.3 (gpt4)-31.1%
MMLU: 44.14 vs 88.3 (so35)-50%
TruthfulQA: 45.13 vs 59 (gpt4)-23.5%
WinoGrande: 66.61 vs 87.5 (gpt4)-23.9%
LLME Score: 0.19479
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Rank Vicuna 7B V1 Fp16 Parameters and Internals

Model Type 
auto-regressive language model
Use Cases 
Areas:
research
Applications:
natural language processing, information retrieval
Primary Use Cases:
research at the intersection of large language models and retrieval
Additional Notes 
Model is converted to FP16 and uses data augmentation.
Training Details 
Data Sources:
user-shared conversations collected from ShareGPT
Methodology:
finetuned from `lmsys/vicuna-7b-v1.5` with supervised instruction fine-tuning
Model Architecture:
transformer architecture
LLM NameRank Vicuna 7b V1 Fp16
Repository 🤗https://huggingface.co/castorini/rank_vicuna_7b_v1_fp16 
Base Model(s)  Rank Vicuna 7b V1   castorini/rank_vicuna_7b_v1
Model Size7b
Required VRAM13.5 GB
Updated2024-12-02
Maintainercastorini
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Quantization Typefp16
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
Rank Vicuna 7B V1 Fp16 (castorini/rank_vicuna_7b_v1_fp16)

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Rank the Rank Vicuna 7B V1 Fp16 Capabilities

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Release v20241124
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