Instructions to use LiquidAI/LFM2.5-2.6B-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use LiquidAI/LFM2.5-2.6B-MLX 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("LiquidAI/LFM2.5-2.6B-MLX") 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 LiquidAI/LFM2.5-2.6B-MLX with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "LiquidAI/LFM2.5-2.6B-MLX" --prompt "Once upon a time"
File size: 1,952 Bytes
58e239c | 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 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 | {
"architectures": [
"Lfm2ForCausalLM"
],
"block_auto_adjust_ff_dim": false,
"block_dim": 2048,
"block_ff_dim": 10752,
"block_ffn_dim_multiplier": 1.0,
"block_mlp_init_scale": 1.0,
"block_multiple_of": 256,
"block_norm_eps": 1e-05,
"block_out_init_scale": 1.0,
"block_use_swiglu": true,
"block_use_xavier_init": true,
"bos_token_id": 124894,
"conv_L_cache": 3,
"conv_bias": false,
"conv_dim": 2048,
"conv_use_xavier_init": true,
"dtype": "bfloat16",
"eos_token_id": [
124900
],
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 10752,
"layer_types": [
"conv",
"conv",
"full_attention",
"conv",
"conv",
"full_attention",
"conv",
"conv",
"conv",
"full_attention",
"conv",
"conv",
"conv",
"full_attention",
"conv",
"conv",
"conv",
"full_attention",
"conv",
"conv",
"conv",
"full_attention",
"conv",
"conv",
"full_attention",
"conv",
"conv",
"full_attention",
"conv",
"conv"
],
"max_position_embeddings": 128000,
"model_type": "lfm2",
"norm_eps": 1e-05,
"num_attention_heads": 32,
"num_heads": 32,
"num_hidden_layers": 30,
"num_key_value_heads": 8,
"pad_token_id": 124893,
"quantization": {
"group_size": 64,
"bits": 6,
"mode": "affine"
},
"quantization_config": {
"group_size": 64,
"bits": 6,
"mode": "affine"
},
"rope_parameters": {
"rope_theta": 10000000.0,
"rope_type": "default"
},
"rope_theta": 10000000.0,
"tie_word_embeddings": true,
"transformers_version": "5.2.0",
"use_cache": true,
"use_pos_enc": true,
"vocab_size": 128000
} |