Instructions to use guildlm/go-lora-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use guildlm/go-lora-adapters 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("guildlm/go-lora-adapters") 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 guildlm/go-lora-adapters with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "guildlm/go-lora-adapters" --prompt "Once upon a time"
- Atomic Chat
Ctrl+K
- go-dapt-core-smoke
- go-dapt-replay-smoke
- go-dapt
- go-dev-0000200
- go-dev-0000300
- go-dev-14b
- go-dev-15b-mixed-v3
- go-dev-dapt-replay
- go-dev-dapt300-ck0000400
- go-dev-dapt300-ck0000800
- go-dev-dapt300-ck0001000
- go-dev-dapt300-ck0001200
- go-dev-dapt300
- go-dev-dapt600-ck0001000
- go-dev-dapt600-ck0001200
- go-dev-dapt600
- go-dev-final
- go-dev-id
- go-dev-maint
- go-dev-mined
- go-dev-mixed-v2
- go-dev-mixed-v3
- go-dev-mixed-v4
- go-dev-mixed-v5
- go-dev-mixed-v5b
- go-dev-mixed
- go-dev-v2-id
- go-dev-v2
- go-dev-v3-id
- go-dev
- go-review-id
- go-review-mined-ck0000200
- go-review-mined-ck0000400
- go-review-mined-ck0000600
- go-review-mined-ck0001000
- go-review-mined-ck0001200
- go-review-mined
- go-review-scaled
- go-review
- go-test-id
- go-test-scaled
- go-test-v2
- go-test