Text Generation
MLX
Safetensors
progen
progen2
protein-language-model
mlx-lm
bfloat16
icl-many-replication
custom_code
Instructions to use N8Programs/ProGen2-base-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use N8Programs/ProGen2-base-bf16 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("N8Programs/ProGen2-base-bf16") 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 N8Programs/ProGen2-base-bf16 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "N8Programs/ProGen2-base-bf16" --prompt "Once upon a time"
| { | |
| "_name_or_path": "hugohrban/progen2-base", | |
| "activation_function": "gelu_new", | |
| "architectures": [ | |
| "ProGenForCausalLM" | |
| ], | |
| "attn_pdrop": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "configuration_progen.ProGenConfig", | |
| "AutoModelForCausalLM": "modeling_progen.ProGenForCausalLM" | |
| }, | |
| "bos_token_id": 1, | |
| "embd_pdrop": 0.0, | |
| "embed_dim": 1536, | |
| "eos_token_id": 2, | |
| "gradient_checkpointing": false, | |
| "initializer_range": 0.02, | |
| "layer_norm_epsilon": 1e-05, | |
| "model_type": "progen", | |
| "n_head": 16, | |
| "n_inner": null, | |
| "n_layer": 27, | |
| "n_positions": 2048, | |
| "resid_pdrop": 0.0, | |
| "rotary_dim": 48, | |
| "scale_attn_weights": true, | |
| "summary_activation": null, | |
| "summary_first_dropout": 0.1, | |
| "summary_proj_to_labels": true, | |
| "summary_type": "cls_index", | |
| "summary_use_proj": true, | |
| "task_specific_params": { | |
| "text-generation": { | |
| "do_sample": true, | |
| "max_length": 50, | |
| "temperature": 1.0 | |
| } | |
| }, | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.40.0", | |
| "use_cache": true, | |
| "vocab_size": 32, | |
| "vocab_size_emb": 32, | |
| "vocab_size_lm_head": 32, | |
| "model_file": "progen2_mlx.py", | |
| "dtype": "bfloat16", | |
| "pad_token_id": 0 | |
| } | |