vvnaren/Phi-3-mini-4k-instruct-chinese-lora-F16-GGUF overview
vvnaren/Phi 3 mini 4k instruct chinese lora F16 GGUF This LoRA adapter was converted to GGUF format from Mike0307/Phi 3 mini 4k instruct chinese lora https://h…
Runs locally from ~18.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Phi-3-mini-4k-instruct-chinese-lora-f16.gguf | GGUF | F16 | 18.0 MB | Download |
Model Details
| Model ID | vvnaren/Phi-3-mini-4k-instruct-chinese-lora-F16-GGUF |
|---|---|
| Author | vvnaren |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | Mike0307/Phi-3-mini-4k-instruct-chinese-lora |
| Last modified | 2026-07-17T05:08:56.000Z |
Model README
---
library_name: transformers
tags:
- trl
- sft
- llama-cpp
- gguf-my-lora
license: apache-2.0
datasets:
- Mike0307/alpaca-en-zhtw
language:
- zh
pipeline_tag: text-generation
base_model: Mike0307/Phi-3-mini-4k-instruct-chinese-lora
---
vvnaren/Phi-3-mini-4k-instruct-chinese-lora-F16-GGUF
This LoRA adapter was converted to GGUF format from Mike0307/Phi-3-mini-4k-instruct-chinese-lora via the ggml.ai's GGUF-my-lora space.
Refer to the original adapter repository for more details.
Use with llama.cpp
# with cli
llama-cli -m base_model.gguf --lora Phi-3-mini-4k-instruct-chinese-lora-f16.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora Phi-3-mini-4k-instruct-chinese-lora-f16.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.
Run vvnaren/Phi-3-mini-4k-instruct-chinese-lora-F16-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models