gustajunq/Blitz-ia-flash-lite-Q4_K_M-GGUF overview
gustajunq/Blitz ia flash lite Q4 K M GGUF This model was converted to GGUF format from Skskskd/Blitz ia flash lite https://huggingface.co/Skskskd/Blitz ia flas…
Runs locally from ~636.9 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| blitz-ia-flash-lite-q4_k_m.gguf | GGUF | Q4_K_M | 636.9 MB | Download |
Model Details
Model README
---
base_model: Skskskd/Blitz-ia-flash-lite
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- llama-cpp
- gguf-my-repo
license: apache-2.0
language:
- en
---
gustajunq/Blitz-ia-flash-lite-Q4_K_M-GGUF
This model was converted to GGUF format from Skskskd/Blitz-ia-flash-lite using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo gustajunq/Blitz-ia-flash-lite-Q4_K_M-GGUF --hf-file blitz-ia-flash-lite-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo gustajunq/Blitz-ia-flash-lite-Q4_K_M-GGUF --hf-file blitz-ia-flash-lite-q4_k_m.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo gustajunq/Blitz-ia-flash-lite-Q4_K_M-GGUF --hf-file blitz-ia-flash-lite-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo gustajunq/Blitz-ia-flash-lite-Q4_K_M-GGUF --hf-file blitz-ia-flash-lite-q4_k_m.gguf -c 2048Run gustajunq/Blitz-ia-flash-lite-Q4_K_M-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models