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Training in progress, step 500

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README.md ADDED
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+ ---
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+ base_model: LiquidAI/LFM2.5-1.2B-Base
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+ library_name: transformers
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+ model_name: lfm25-1.2b-pv-openness-high
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+ tags:
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+ - generated_from_trainer
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+ - sft
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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 lfm25-1.2b-pv-openness-high
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+
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+ This model is a fine-tuned version of [LiquidAI/LFM2.5-1.2B-Base](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Base).
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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="PersonaPO/lfm25-1.2b-pv-openness-high", 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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/alirezasakhaeirad/personapo/runs/zw0i8l0b)
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+
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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: 1.5.1
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+ - Transformers: 5.11.0
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+ - Pytorch: 2.12.0
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+ - Datasets: 5.0.0
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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 -}}{%- set system_prompt = "" -%}{%- set ns = namespace(system_prompt="") -%}{%- if messages[0]["role"] == "system" -%} {%- set ns.system_prompt = messages[0]["content"] -%} {%- set messages = messages[1:] -%}{%- endif -%}{%- if tools -%} {%- set ns.system_prompt = ns.system_prompt + ("
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+ " if ns.system_prompt else "") + "List of tools: <|tool_list_start|>[" -%} {%- for tool in tools -%} {%- if tool is not string -%} {%- set tool = tool | tojson -%} {%- endif -%} {%- set ns.system_prompt = ns.system_prompt + tool -%} {%- if not loop.last -%} {%- set ns.system_prompt = ns.system_prompt + ", " -%} {%- endif -%} {%- endfor -%} {%- set ns.system_prompt = ns.system_prompt + "]<|tool_list_end|>" -%}{%- endif -%}{%- if ns.system_prompt -%} {{- "<|im_start|>system
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+ " + ns.system_prompt + "<|im_end|>
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+ " -}}{%- endif -%}{%- for message in messages -%} {{- "<|im_start|>" + message["role"] + "
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+ " -}} {%- set content = message["content"] -%} {%- if content is not string -%} {%- set content = content | tojson -%} {%- endif -%} {%- if message["role"] == "tool" -%} {%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%} {%- endif -%} {{- 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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+ "Lfm2ForCausalLM"
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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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+ "full_attn_idxs": null,
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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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+ "max_position_embeddings": 128000,
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+ "model_type": "lfm2",
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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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+ "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_word_embeddings": true,
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+ "transformers_version": "5.11.0",
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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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tokenizer_config.json ADDED
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