Instructions to use TechxGenus/Seed-Coder-8B-Base-DWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TechxGenus/Seed-Coder-8B-Base-DWQ with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("TechxGenus/Seed-Coder-8B-Base-DWQ") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use TechxGenus/Seed-Coder-8B-Base-DWQ with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "TechxGenus/Seed-Coder-8B-Base-DWQ" --prompt "Once upon a time"
File size: 111 Bytes
db874cc | 1 2 3 4 5 6 7 | {
"_from_model_config": true,
"bos_token_id": 0,
"eos_token_id": 2,
"transformers_version": "4.46.2"
}
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