Text Generation
MLX
PEFT
English
Assamese
lora
amiga
68000
m68k
assembly
code-generation
qwen2.5-coder
apple-silicon
retrogaming
demoscene
Eval Results (legacy)
Instructions to use bmove/amiga-playground-asm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use bmove/amiga-playground-asm 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("bmove/amiga-playground-asm") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - PEFT
How to use bmove/amiga-playground-asm with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use bmove/amiga-playground-asm with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "bmove/amiga-playground-asm" --prompt "Once upon a time"
- Atomic Chat
| { | |
| "schema_version": 1, | |
| "product": "amiga-playground-asm", | |
| "version": "0.1.0", | |
| "base_model": "mlx-community/Qwen2.5-Coder-3B-Instruct-4bit", | |
| "adapter_sha256": "3c6cadccd24af796bcb9f6a8a3677539e764709abe982dce4c4f7be9ee6cf88a", | |
| "evaluation": { | |
| "pass_count": 140, | |
| "case_count": 140, | |
| "eligible": true, | |
| "gate": "first-shot compile" | |
| }, | |
| "runtime": { | |
| "base": "runtime/base", | |
| "adapter": "runtime/adapter", | |
| "model_id": "amiga-playground-asm" | |
| } | |
| } | |