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hybridaione
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LFM2.5-1.2B-Text2SQL

Text Generation
Safetensors
PyTorch
English
lfm2
text2sql
sql
fine-tuned
lora
conversational
Model card Files
xet
Community
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  1. README.md +50 -0
  2. chat_template.jinja +45 -0
  3. config.json +57 -0
  4. generation_config.json +7 -0
  5. model.safetensors +3 -0
  6. model.safetensors.index.json +156 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +20 -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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+ - lfm2.5
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+ - edge
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+ - mlx
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+ base_model: mlx-community/LFM2.5-1.2B-Instruct-4bit
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+ ---
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+
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+ # hybridaione/LFM2.5-1.2B-Text2SQL
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+
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+ This model [hybridaione/LFM2.5-1.2B-Text2SQL](https://huggingface.co/hybridaione/LFM2.5-1.2B-Text2SQL) was
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+ converted to MLX format from [mlx-community/LFM2.5-1.2B-Instruct-4bit](https://huggingface.co/mlx-community/LFM2.5-1.2B-Instruct-4bit)
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+ using mlx-lm version **0.29.1**.
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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("hybridaione/LFM2.5-1.2B-Text2SQL")
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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 -}}
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+ {%- set keep_past_thinking = keep_past_thinking | default(false) -%}
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+ {%- set ns = namespace(system_prompt="") -%}
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+ {%- if messages[0]["role"] == "system" -%}
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+ {%- set ns.system_prompt = messages[0]["content"] -%}
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+ {%- set messages = messages[1:] -%}
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+ {%- endif -%}
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+ {%- if tools -%}
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+ {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%}
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+ {%- for tool in tools -%}
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+ {%- if tool is not string -%}
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+ {%- set tool = tool | tojson -%}
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+ {%- endif -%}
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+ {%- set ns.system_prompt = ns.system_prompt + tool -%}
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+ {%- if not loop.last -%}
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+ {%- set ns.system_prompt = ns.system_prompt + ", " -%}
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+ {%- endif -%}
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+ {%- endfor -%}
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+ {%- set ns.system_prompt = ns.system_prompt + "]" -%}
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+ {%- endif -%}
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+ {%- if ns.system_prompt -%}
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+ {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
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+ {%- endif -%}
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+ {%- set ns.last_assistant_index = -1 -%}
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+ {%- for message in messages -%}
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+ {%- if message["role"] == "assistant" -%}
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+ {%- set ns.last_assistant_index = loop.index0 -%}
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+ {%- endif -%}
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+ {%- endfor -%}
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+ {%- for message in messages -%}
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+ {{- "<|im_start|>" + message["role"] + "\n" -}}
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+ {%- set content = message["content"] -%}
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+ {%- if content is not string -%}
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+ {%- set content = content | tojson -%}
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+ {%- endif -%}
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+ {%- if message["role"] == "assistant" and not keep_past_thinking and loop.index0 != ns.last_assistant_index -%}
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+ {%- if "</think>" in content -%}
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+ {%- set content = content.split("</think>")[-1] | trim -%}
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+ {%- endif -%}
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+ {%- endif -%}
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+ {{- content + "<|im_end|>\n" -}}
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+ {%- endfor -%}
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+ {%- if add_generation_prompt -%}
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+ {{- "<|im_start|>assistant\n" -}}
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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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+ "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_use_xavier_init": true,
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+ "dtype": "bfloat16",
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+ "eos_token_id": 7,
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+ "hidden_size": 2048,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 12288,
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+ "layer_types": [
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+ "conv",
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+ "conv",
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+ "full_attention",
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+ "conv",
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+ "conv",
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+ "full_attention",
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+ "conv",
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+ "conv",
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+ "conv",
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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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+ "rope_theta": 1000000.0,
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+ "tie_embedding": true,
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+ "transformers_version": "4.57.2",
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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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tokenizer.json ADDED
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