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Training in progress, step 1

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README.md ADDED
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+ ---
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+ base_model: LiquidAI/LFM2.5-1.2B-Thinking
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+ library_name: transformers
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+ model_name: LFM2.5-1.2B-Thinking-CodeX
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+ tags:
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+ - generated_from_trainer
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+ - sft
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+ - trackio:https://FlameF0X-trackio.hf.space?project=huggingface&runs=FlameF0X-1777186800&sidebar=collapsed
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+ - trl
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+ licence: license
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+ ---
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+
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+ # Model Card for LFM2.5-1.2B-Thinking-CodeX
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+
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+ This model is a fine-tuned version of [LiquidAI/LFM2.5-1.2B-Thinking](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Thinking).
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+ It has been trained using [TRL](https://github.com/huggingface/trl).
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+
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+ ## Quick start
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+
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+ ```python
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+ from transformers import pipeline
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+
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+ question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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+ generator = pipeline("text-generation", model="FlameF0X/LFM2.5-1.2B-Thinking-CodeX", device="cuda")
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+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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+ print(output["generated_text"])
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+ ```
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+
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+ ## Training procedure
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+
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+
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+ [<img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" width="150" height="24"/>](https://FlameF0X-trackio.hf.space?project=huggingface&runs=FlameF0X-1777186800&sidebar=collapsed)
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+
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+
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+ This model was trained with SFT.
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+
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+ ### Framework versions
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+
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+ - TRL: 1.2.0
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+ - Transformers: 5.0.0
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+ - Pytorch: 2.10.0+cu128
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+ - Datasets: 4.8.4
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+ - Tokenizers: 0.22.2
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+
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+ ## Citations
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+
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+
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+
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+ Cite TRL as:
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+
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+ ```bibtex
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+ @software{vonwerra2020trl,
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+ title = {{TRL: Transformers Reinforcement Learning}},
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+ author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
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+ license = {Apache-2.0},
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+ url = {https://github.com/huggingface/trl},
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+ year = {2020}
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+ }
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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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+ ],
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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": "float32",
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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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+ "full_attention",
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+ "conv",
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+ "full_attention",
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+ "conv",
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+ "full_attention",
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+ "conv",
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+ "full_attention",
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+ "conv"
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+ ],
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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_parameters": {
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+ "rope_theta": 1000000.0,
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+ "rope_type": "default"
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+ },
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+ "tie_embedding": true,
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+ "tie_word_embeddings": true,
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+ "transformers_version": "5.0.0",
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+ "use_cache": false,
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+ "use_pos_enc": true,
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+ "vocab_size": 65536
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+ }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "eos_token_id": [
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+ 7
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+ ],
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+ "pad_token_id": 0,
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+ "transformers_version": "5.0.0"
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+ }
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tokenizer_config.json ADDED
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+ {
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+ "backend": "tokenizers",
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+ "bos_token": "<|startoftext|>",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|im_end|>",
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+ "is_local": false,
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+ "legacy": false,
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+ "model_input_names": [
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+ "attention_mask"
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+ "model_max_length": 1000000000000000019884624838656,
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+ "model_specific_special_tokens": {},
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+ "pad_token": "<|pad|>",
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+ "sp_model_kwargs": {},
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+ "spaces_between_special_tokens": false,
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+ "tokenizer_class": "TokenizersBackend",
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+ "use_default_system_prompt": false,
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+ "use_fast": true
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+ }
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