metadata
base_model: microsoft/Phi-3-medium-128k-instruct
license: mit
license_link: >-
https://huggingface.co/microsoft/Phi-3-medium-128k-instruct/resolve/main/LICENSE
language:
- multilingual
pipeline_tag: text-generation
model_creator: Microsoft
model_name: Phi 3 medium 128k instruct
model_type: phi-msft
quantized_by: Second State Inc.
tags:
- nlp
- code
Phi-3-medium-128k-instruct-GGUF
Original Model
microsoft/Phi-3-medium-128k-instruct
Run with Gaianet
Prompt template
prompt template: phi-3-chat
Context size
chat_ctx_size: 5120
Run with GaiaNet
Quick start: https://docs.gaianet.ai/node-guide/quick-start
Customize your node: https://docs.gaianet.ai/node-guide/customize
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| Phi-3-medium-128k-instruct-Q2_K.gguf | Q2_K | 2 | 5.14 GB | smallest, significant quality loss - not recommended for most purposes |
| Phi-3-medium-128k-instruct-Q3_K_L.gguf | Q3_K_L | 3 | 7.49 GB | small, substantial quality loss |
| Phi-3-medium-128k-instruct-Q3_K_M.gguf | Q3_K_M | 3 | 6.92 GB | very small, high quality loss |
| Phi-3-medium-128k-instruct-Q3_K_S.gguf | Q3_K_S | 3 | 6.06 GB | very small, high quality loss |
| Phi-3-medium-128k-instruct-Q4_0.gguf | Q4_0 | 4 | 7.9 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Phi-3-medium-128k-instruct-Q4_K_M.gguf | Q4_K_M | 4 | 8.57 GB | medium, balanced quality - recommended |
| Phi-3-medium-128k-instruct-Q4_K_S.gguf | Q4_K_S | 4 | 7.95 GB | small, greater quality loss |
| Phi-3-medium-128k-instruct-Q5_0.gguf | Q5_0 | 5 | 9.62 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Phi-3-medium-128k-instruct-Q5_K_M.gguf | Q5_K_M | 5 | 10.1 GB | large, very low quality loss - recommended |
| Phi-3-medium-128k-instruct-Q5_K_S.gguf | Q5_K_S | 5 | 9.62 GB | large, low quality loss - recommended |
| Phi-3-medium-128k-instruct-Q6_K.gguf | Q6_K | 6 | 11.5 GB | very large, extremely low quality loss |
| Phi-3-medium-128k-instruct-Q8_0.gguf | Q8_0 | 8 | 14.8 GB | very large, extremely low quality loss - not recommended |
| Phi-3-medium-128k-instruct-f16.gguf | f16 | 16 | 27.9 GB |
Quantized with llama.cpp b2961.