metadata
base_model: Qwen/Qwen3-8B
license: apache-2.0
tags:
- gguf
- lora-merged
- nba
- sports-analysis
- qwen3
pipeline_tag: text-generation
quantized_by: llama.cpp
LeLM-GGUF
GGUF quantization of KenWu/LeLM, an NBA take analysis model fine-tuned on Qwen3-8B.
Available Quantizations
| File | Quant | Size | Description |
|---|---|---|---|
LeLM-Q4_K_M.gguf |
Q4_K_M | 4.7 GB | Best balance of quality and size |
Usage with Ollama
Create a Modelfile:
FROM ./LeLM-Q4_K_M.gguf
PARAMETER temperature 0.7
PARAMETER top_p 0.9
SYSTEM You are LeLM, an expert NBA analyst. Fact-check basketball takes using real statistics. Be direct, witty, and back everything with numbers.
Then run:
ollama create lelm -f Modelfile
ollama run lelm "Fact check: LeBron is washed"
Usage with llama.cpp
llama-cli -m LeLM-Q4_K_M.gguf -p "Fact check this NBA take: Steph Curry is the GOAT" -n 512
Model Details
- Base model: Qwen3-8B
- Fine-tuning: LoRA (r=64, alpha=128) with SFT on NBA take analysis data
- Training: 3 epochs, 915 steps, final loss 0.288
- LoRA adapter: KenWu/LeLM
Part of LeGM-Lab
This model powers LeGM-Lab, an LLM-powered NBA take analysis and roasting bot.