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mlx-community
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LFM2-1.2B-4bit

Text Generation
MLX
Safetensors
lfm2
liquid
edge
conversational
4-bit precision
Model card Files
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Community
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  1. README.md +50 -0
  2. chat_template.jinja +4 -0
  3. config.json +54 -0
  4. generation_config.json +7 -0
  5. model.safetensors +3 -0
  6. model.safetensors.index.json +342 -0
  7. special_tokens_map.json +23 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +4074 -0
README.md ADDED
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+ ---
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+ library_name: mlx
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+ license: other
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+ license_name: lfm1.0
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+ license_link: LICENSE
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+ language:
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+ - en
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+ - ar
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+ - zh
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+ - fr
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+ - de
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+ - ja
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+ - ko
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+ - es
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+ pipeline_tag: text-generation
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+ tags:
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+ - liquid
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+ - lfm2
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+ - edge
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+ - mlx
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+ base_model: LiquidAI/LFM2-1.2B
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+ ---
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+
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+ # mlx-community/LFM2-1.2B-4bit
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+
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+ This model [mlx-community/LFM2-1.2B-4bit](https://huggingface.co/mlx-community/LFM2-1.2B-4bit) was
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+ converted to MLX format from [LiquidAI/LFM2-1.2B](https://huggingface.co/LiquidAI/LFM2-1.2B)
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+ using mlx-lm version **0.26.0**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("mlx-community/LFM2-1.2B-4bit")
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+
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+ prompt = "hello"
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+
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+ if tokenizer.chat_template is not None:
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+ messages = [{"role": "user", "content": prompt}]
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+ prompt = tokenizer.apply_chat_template(
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+ messages, add_generation_prompt=True
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+ )
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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
chat_template.jinja ADDED
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+ {{bos_token}}{% for message in messages %}{{'<|im_start|>' + message['role'] + '
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+ ' + message['content'] + '<|im_end|>' + '
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+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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+ ' }}{% endif %}
config.json ADDED
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+ {
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+ "architectures": [
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+ "Lfm2ForCausalLM"
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+ ],
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+ "block_auto_adjust_ff_dim": true,
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+ "block_dim": 2048,
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+ "block_ff_dim": 12288,
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+ "block_ffn_dim_multiplier": 1.0,
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+ "block_mlp_init_scale": 1.0,
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+ "block_multiple_of": 256,
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+ "block_norm_eps": 1e-05,
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+ "block_out_init_scale": 1.0,
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+ "block_use_swiglu": true,
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+ "block_use_xavier_init": true,
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+ "bos_token_id": 1,
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+ "conv_L_cache": 3,
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+ "conv_bias": false,
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+ "conv_dim": 2048,
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+ "conv_dim_out": 2048,
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+ "conv_use_xavier_init": true,
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+ "eos_token_id": 7,
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+ "full_attn_idxs": [
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+ 14
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+ ],
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+ "hidden_size": 2048,
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+ "initializer_range": 0.02,
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+ "max_position_embeddings": 128000,
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+ "model_type": "lfm2",
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+ "norm_eps": 1e-05,
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+ "num_attention_heads": 32,
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+ "num_heads": 32,
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+ "num_hidden_layers": 16,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 0,
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+ "quantization": {
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+ "group_size": 64,
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+ "bits": 4
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+ },
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+ "quantization_config": {
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+ "group_size": 64,
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+ "bits": 4
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+ },
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+ "rope_theta": 1000000.0,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.54.0.dev0",
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+ "use_cache": true,
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+ "use_pos_enc": true,
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+ "vocab_size": 65536
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+ }
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+ }
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