vvnaren/Phi-3.1-mini-128k-instruct-lora-base-F16-GGUF overview
vvnaren/Phi 3.1 mini 128k instruct lora base F16 GGUF This LoRA adapter was converted to GGUF format from tuong nguyen prd/Phi 3.1 mini 128k instruct lora base…
Runs locally from ~3.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Phi-3.1-mini-128k-instruct-lora-base-f16.gguf | GGUF | F16 | 3.0 MB | Download |
Model Details
Model README
---
library_name: peft
base_model: tuong-nguyen-prd/Phi-3.1-mini-128k-instruct-lora-base
tags:
- llama-cpp
- gguf-my-lora
---
vvnaren/Phi-3.1-mini-128k-instruct-lora-base-F16-GGUF
This LoRA adapter was converted to GGUF format from tuong-nguyen-prd/Phi-3.1-mini-128k-instruct-lora-base 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-3.1-mini-128k-instruct-lora-base-f16.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora Phi-3.1-mini-128k-instruct-lora-base-f16.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.
Run vvnaren/Phi-3.1-mini-128k-instruct-lora-base-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