metadata
base_model: marianna13/llava-phi-2-3b
language:
- en
license: mit
library_name: transformers
datasets:
- liuhaotian/LLaVA-Instruct-150K
- liuhaotian/LLaVA-Pretrain
GGUF Quantized LLaVa Phi-2 3B
Original model from marianna13/llava-phi-2-3b.
Provided Files
| Name | Quant method | Bits | Size | Max RAM required | Use case |
|---|---|---|---|---|---|
| ggml-model-Q2_K.gguf | Q2_K | 2 | 1.17 GB | 3.67 GB | smallest, significant quality loss - not recommended for most purposes |
| ggml-model-Q3_K_S.gguf | Q3_K_S | 3 | 1.25 GB | 3.75 GB | very small, high quality loss |
| ggml-model-Q3_K_M.gguf | Q3_K_M | 3 | 1.48 GB | 3.98 GB | very small, high quality loss |
| 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 |
| ggml-model-Q3_K_L.gguf | Q3_K_L | 3 | 1.60 GB | 4.10 GB | small, substantial quality loss |
| ggml-model-Q4_K_S.gguf | Q4_K_S | 4 | 1.62 GB | 4.12 GB | small, greater quality loss |
| ggml-model-Q4_K_M.gguf | Q4_K_M | 4 | 1.79 GB | 4.29 GB | medium, balanced quality - recommended |
| ggml-model-Q5_0.gguf | Q5_0 | 5 | 1.93 GB | 4.43 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| ggml-model-Q5_K_S.gguf | Q5_K_S | 5 | 1.93 GB | 4.43 GB | large, low quality loss - recommended |
| ggml-model-Q5_K_M.gguf | Q5_K_M | 5 | 2.07 GB | 4.57 GB | large, very low quality loss - recommended |
| ggml-model-Q6_K.gguf | Q6_K | 6 | 2.29 GB | 4.79 GB | very large, extremely low quality loss |
| ggml-model-Q8_0.gguf | Q8_0 | 8 | 2.96 GB | 5.46 GB | very large, extremely low quality loss - not recommended |
ORIGINAL MODEL CARD
Model Card for LLaVa-Phi-2-3B
Model Details
Model Description
- Developed by: LAION, SkunkworksAI & Ontocord
- Model type: LLaVA is an open-source chatbot trained by fine-tuning Phi-2 on GPT-generated multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture
- Finetuned from model: Phi-2
- License: MIT
- Demo: llava-phi-2-3b-demo
Model Sources
- Repository: BakLLaVa
Evaluation
Benchmarks
| Model | Parameters | SQA | GQA | TextVQA | POPE |
|---|---|---|---|---|---|
| LLaVA-1.5 | 7.3B | 68.0 | 62.0 | 58.3 | 85.3 |
| MC-LLaVA-3B | 3B | - | 49.6 | 38.59 | - |
| LLaVA-Phi | 3B | 68.4 | - | 48.6 | 85.0 |
| moondream1 | 1.6B | - | 56.3 | 39.8 | - |
| llava-phi-2-3b | 3B | 69.0 | 51.2 | 47.0 | 86.0 |
Image Captioning (MS COCO)
| Model | BLEU_1 | BLEU_2 | BLEU_3 | BLEU_4 | METEOR | ROUGE_L | CIDEr | SPICE |
|---|---|---|---|---|---|---|---|---|
| llava-1.5-7b | 75.8 | 59.8 | 45 | 33.3 | 29.4 | 57.7 | 108.8 | 23.5 |
| llava-phi-2-3b | 67.7 | 50.5 | 35.7 | 24.2 | 27.0 | 52.4 | 85.0 | 20.7 |