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--- |
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base_model: marianna13/llava-phi-2-3b |
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pipeline_tag: text-generation |
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inference: false |
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quantized_by: Kevin Cao |
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language: |
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- en |
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license: mit |
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library_name: transformers |
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datasets: |
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- liuhaotian/LLaVA-Instruct-150K |
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- liuhaotian/LLaVA-Pretrain |
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--- |
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# GGUF Quantized LLaVa Phi-2 3B |
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Original model from [marianna13/llava-phi-2-3b](https://huggingface.co/marianna13/llava-phi-2-3b). |
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## Provided Files |
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| Name | Quant method | Bits | Size | Max RAM required | Use case | |
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| ---- | ---- | ---- | ---- | ---- | ----- | |
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| [ggml-model-Q2_K.gguf](https://huggingface.co/kejcao/llava-phi-2-GGUF/blob/main/ggml-model-Q2_K.gguf) | Q2_K | 2 | 1.17 GB| 3.67 GB | smallest, significant quality loss - not recommended for most purposes | |
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| [ggml-model-Q3_K_S.gguf](https://huggingface.co/kejcao/llava-phi-2-GGUF/blob/main/ggml-model-Q3_K_S.gguf) | Q3_K_S | 3 | 1.25 GB| 3.75 GB | very small, high quality loss | |
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| [ggml-model-Q3_K_M.gguf](https://huggingface.co/kejcao/llava-phi-2-GGUF/blob/main/ggml-model-Q3_K_M.gguf) | Q3_K_M | 3 | 1.48 GB| 3.98 GB | very small, high quality loss | |
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| [ggml-model-Q4_0.gguf](https://huggingface.co/kejcao/llava-phi-2-GGUF/blob/main/ggml-model-Q4_0.gguf) | Q4_0 | 4 | 1.60 GB| 4.10 GB | legacy; small, very high quality loss - prefer using Q3_K_M | |
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| [ggml-model-Q3_K_L.gguf](https://huggingface.co/kejcao/llava-phi-2-GGUF/blob/main/ggml-model-Q3_K_L.gguf) | Q3_K_L | 3 | 1.60 GB| 4.10 GB | small, substantial quality loss | |
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| [ggml-model-Q4_K_S.gguf](https://huggingface.co/kejcao/llava-phi-2-GGUF/blob/main/ggml-model-Q4_K_S.gguf) | Q4_K_S | 4 | 1.62 GB| 4.12 GB | small, greater quality loss | |
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| [ggml-model-Q4_K_M.gguf](https://huggingface.co/kejcao/llava-phi-2-GGUF/blob/main/ggml-model-Q4_K_M.gguf) | Q4_K_M | 4 | 1.79 GB| 4.29 GB | medium, balanced quality - recommended | |
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| [ggml-model-Q5_0.gguf](https://huggingface.co/kejcao/llava-phi-2-GGUF/blob/main/ggml-model-Q5_0.gguf) | Q5_0 | 5 | 1.93 GB| 4.43 GB | legacy; medium, balanced quality - prefer using Q4_K_M | |
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| [ggml-model-Q5_K_S.gguf](https://huggingface.co/kejcao/llava-phi-2-GGUF/blob/main/ggml-model-Q5_K_S.gguf) | Q5_K_S | 5 | 1.93 GB| 4.43 GB | large, low quality loss - recommended | |
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| [ggml-model-Q5_K_M.gguf](https://huggingface.co/kejcao/llava-phi-2-GGUF/blob/main/ggml-model-Q5_K_M.gguf) | Q5_K_M | 5 | 2.07 GB| 4.57 GB | large, very low quality loss - recommended | |
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| [ggml-model-Q6_K.gguf](https://huggingface.co/kejcao/llava-phi-2-GGUF/blob/main/ggml-model-Q6_K.gguf) | Q6_K | 6 | 2.29 GB| 4.79 GB | very large, extremely low quality loss | |
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| [ggml-model-Q8_0.gguf](https://huggingface.co/kejcao/llava-phi-2-GGUF/blob/main/ggml-model-Q8_0.gguf) | Q8_0 | 8 | 2.96 GB| 5.46 GB | very large, extremely low quality loss - not recommended | |
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# ORIGINAL MODEL CARD |
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# Model Card for LLaVa-Phi-2-3B |
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<!-- Provide a quick summary of what the model is/does. --> |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** [LAION](https://laion.ai/), [SkunkworksAI](https://huggingface.co/SkunkworksAI) & [Ontocord](https://www.ontocord.ai/) |
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- **Model type:** LLaVA is an open-source chatbot trained by fine-tuning Phi-2 on GPT-generated multimodal instruction-following data. |
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It is an auto-regressive language model, based on the transformer architecture |
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- **Finetuned from model:** [Phi-2](https://huggingface.co/microsoft/phi-2) |
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- **License:** MIT |
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- **Demo:** [llava-phi-2-3b-demo](https://huggingface.co/spaces/marianna13/llava-phi-2-3b-demo) |
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### Model Sources |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** [BakLLaVa](https://github.com/SkunkworksAI/BakLLaVA) |
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## Evaluation |
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<!-- This section describes the evaluation protocols and provides the results. --> |
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### Benchmarks |
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| Model | Parameters |SQA | GQA | TextVQA | POPE | |
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| --- | --- | --- | --- | --- | --- | |
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| [LLaVA-1.5](https://huggingface.co/liuhaotian/llava-v1.5-7b) | 7.3B | 68.0| **62.0** | **58.3** | 85.3 | |
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| [MC-LLaVA-3B](https://huggingface.co/visheratin/MC-LLaVA-3b) | 3B | - | 49.6 | 38.59 | - | |
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| [LLaVA-Phi](https://arxiv.org/pdf/2401.02330.pdf) | 3B | 68.4 | - | 48.6 | 85.0 | |
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| [moondream1](https://huggingface.co/vikhyatk/moondream1) | 1.6B | - | 56.3 | 39.8 | - | |
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| **llava-phi-2-3b** | 3B | **69.0** | 51.2 | 47.0 | **86.0** | |
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### Image Captioning (MS COCO) |
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| Model | BLEU_1 | BLEU_2 | BLEU_3 | BLEU_4 | METEOR | ROUGE_L | CIDEr | SPICE | |
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| -------------------------------------------------------- | ------ | ------ | ------ | ------ | ------ | ------- | ----- | ----- | |
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| llava-1.5-7b | 75.8 | 59.8 | 45 | 33.3 | 29.4 | 57.7 | 108.8 | 23.5 | |
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| **llava-phi-2-3b** | 67.7 | 50.5 | 35.7 | 24.2 | 27.0 | 52.4 | 85.0 | 20.7 | |
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