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"
File size: 1,215 Bytes
e8df098 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | {
"_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
}
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