Text Generation
Safetensors
MLX
English
mlx-lm
prompt-reconstruction
prompt-inversion
prompt-recovery
inverse-prompting
response-to-prompt
semantic-similarity
ultrachat
qwen2.5
lora
apple-silicon
8-bit precision
quantized
small-language-model
Instructions to use ddrisco11/TROUT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ddrisco11/TROUT 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("ddrisco11/TROUT") 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 ddrisco11/TROUT with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "ddrisco11/TROUT" --prompt "Once upon a time"
- Atomic Chat
Download base-8bit/config.json from ddrisco11/TROUT: direct link, hf CLI and curl.
- Browser
- Download file 947 Bytes
-
https://huggingface.co/ddrisco11/TROUT/resolve/main/base-8bit/config.json
- Command line
-
hf download hf://ddrisco11/TROUT/base-8bit/config.json
-
curl -L -o config.json https://huggingface.co/ddrisco11/TROUT/resolve/main/base-8bit/config.json
947 Bytes
| { | |
| "architectures": [ | |
| "Qwen2ForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 151643, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "hidden_act": "silu", | |
| "hidden_size": 896, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4864, | |
| "max_position_embeddings": 32768, | |
| "max_window_layers": 21, | |
| "model_type": "qwen2", | |
| "num_attention_heads": 14, | |
| "num_hidden_layers": 24, | |
| "num_key_value_heads": 2, | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 8, | |
| "mode": "affine" | |
| }, | |
| "quantization_config": { | |
| "group_size": 64, | |
| "bits": 8, | |
| "mode": "affine" | |
| }, | |
| "rms_norm_eps": 1e-06, | |
| "rope_theta": 1000000.0, | |
| "sliding_window": 32768, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.43.1", | |
| "use_cache": true, | |
| "use_sliding_window": false, | |
| "vocab_size": 151936 | |
| } |