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RichardErkhov/unsloth_-_Phi-3-mini-4k-instruct-gguf
unsloth_-_Phi-3-mini-4k-instruct-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
308
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.gguf50.4 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
Phi-3-mini-4k-instruct - GGUF
| Name | Quant method | Size |
|---|---|---|
| Phi-3-mini-4k-instruct.Q2_K.gguf | Q2_K | 1.35GB |
| Phi-3-mini-4k-instruct.IQ3_XS.gguf | IQ3_XS | 1.49GB |
| Phi-3-mini-4k-instruct.IQ3_S.gguf | IQ3_S | 1.57GB |
| Phi-3-mini-4k-instruct.Q3_K_S.gguf | Q3_K_S | 1.57GB |
| Phi-3-mini-4k-instruct.IQ3_M.gguf | IQ3_M | 1.65GB |
| Phi-3-mini-4k-instruct.Q3_K.gguf | Q3_K | 1.75GB |
| Phi-3-mini-4k-instruct.Q3_K_M.gguf | Q3_K_M | 1.75GB |
| Phi-3-mini-4k-instruct.Q3_K_L.gguf | Q3_K_L | 1.9GB |
| Phi-3-mini-4k-instruct.IQ4_XS.gguf | IQ4_XS | 1.93GB |
| Phi-3-mini-4k-instruct.Q4_0.gguf | Q4_0 | 2.03GB |
| Phi-3-mini-4k-instruct.IQ4_NL.gguf | IQ4_NL | 2.04GB |
| Phi-3-mini-4k-instruct.Q4_K_S.gguf | Q4_K_S | 2.04GB |
| Phi-3-mini-4k-instruct.Q4_K.gguf | Q4_K | 2.16GB |
| Phi-3-mini-4k-instruct.Q4_K_M.gguf | Q4_K_M | 2.16GB |
| Phi-3-mini-4k-instruct.Q4_1.gguf | Q4_1 | 2.24GB |
| Phi-3-mini-4k-instruct.Q5_0.gguf | Q5_0 | 2.46GB |
| Phi-3-mini-4k-instruct.Q5_K_S.gguf | Q5_K_S | 2.46GB |
| Phi-3-mini-4k-instruct.Q5_K.gguf | Q5_K | 2.53GB |
| Phi-3-mini-4k-instruct.Q5_K_M.gguf | Q5_K_M | 2.53GB |
| Phi-3-mini-4k-instruct.Q5_1.gguf | Q5_1 | 2.68GB |
| Phi-3-mini-4k-instruct.Q6_K.gguf | Q6_K | 2.92GB |
| Phi-3-mini-4k-instruct.Q8_0.gguf | Q8_0 | 3.78GB |
language:
pip install git+https://github.com/huggingface/transformers.git
Directly quantized 4bit model with bitsandbytes. We Mistralfied the model to ensure it could be used on many platforms
We have a Google Colab Tesla T4 notebook for Phi-3 (mini) here: https://colab.research.google.com/drive/1vIrqH5uYDQwsJ4-OO3DErvuv4pBgVwk4?usp=sharing And another notebook for Phi-3 (medium) here: https://colab.research.google.com/drive/1hhdhBa1j_hsymiW9m-WzxQtgqTH_NHqi?usp=sharing
<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png" width="200"/> <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy%20me%20a%20coffee%20button.png" width="200"/> <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>
All notebooks are beginner friendly! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face.
| Unsloth supports | Free Notebooks | Performance | Memory use |
|---|---|---|---|
| Llama 3 (8B) | ▶️ Start on Colab | 2.4x faster | 58% less |
| Gemma 2 (9B) | ▶️ Start on Colab | 2x faster | 63% less |
| Mistral (9B) | ▶️ Start on Colab | 2.2x faster | 62% less |
| Phi 3 (mini) | ▶️ Start on Colab | 2x faster | 50% less |
| Phi 3 (medium) | ▶️ Start on Colab | 2x faster | 50% less |
| TinyLlama | ▶️ Start on Colab | 3.9x faster | 74% less |
| CodeLlama (34B) A100 | ▶️ Start on Colab | 1.9x faster | 27% less |
| Mistral (7B) 1xT4 | ▶️ Start on Kaggle | 5x faster* | 62% less |
| DPO - Zephyr | ▶️ Start on Colab | 1.9x faster | 19% less |