Metacoder Llava V1.5 7B by yingyueli

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  Autotrain compatible   Dataset:yingyueli/vpqa   En   Endpoints compatible   Instruct   Llava llama   Lora   Region:us   Safetensors   Sharded   Tensorflow

Metacoder Llava V1.5 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Metacoder Llava V1.5 7B (yingyueli/metacoder_llava-v1.5-7b)

Metacoder Llava V1.5 7B Parameters and Internals

LLM NameMetacoder Llava V1.5 7B
Repository ๐Ÿค—https://huggingface.co/yingyueli/metacoder_llava-v1.5-7b 
Model Size7b
Required VRAM14.1 GB
Updated2025-01-16
Maintaineryingyueli
Model Files  0.6 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.2 GB: 3-of-3   0.0 GB
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length2048
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|up_proj|o_proj|k_proj|gate_proj|q_proj|down_proj
LoRA Alpha256
LoRA Dropout0.05
R Param128

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Note: green Score (e.g. "73.2") means that the model is better than yingyueli/metacoder_llava-v1.5-7b.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227