vvnaren/Adapter-Phi-3-mini-128k-instruct-lora-F16-GGUF overview
vvnaren/Adapter Phi 3 mini 128k instruct lora F16 GGUF This LoRA adapter was converted to GGUF format from swkong/Adapter Phi 3 mini 128k instruct lora https:/…
Runs locally from ~18.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Adapter-Phi-3-mini-128k-instruct-lora-f16.gguf | GGUF | F16 | 18.0 MB | Download |
Model Details
Model README
---
base_model: swkong/Adapter-Phi-3-mini-128k-instruct-lora
library_name: peft
license: mit
tags:
- trl
- sft
- generated_from_trainer
- llama-cpp
- gguf-my-lora
model-index:
- name: Adapter-Phi-3-mini-128k-instruct-lora
results: []
---
vvnaren/Adapter-Phi-3-mini-128k-instruct-lora-F16-GGUF
This LoRA adapter was converted to GGUF format from swkong/Adapter-Phi-3-mini-128k-instruct-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 Adapter-Phi-3-mini-128k-instruct-lora-f16.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora Adapter-Phi-3-mini-128k-instruct-lora-f16.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.
Run vvnaren/Adapter-Phi-3-mini-128k-instruct-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