初始化项目，由ModelHub XC社区提供模型
Model: ali-elganzory/SmolLM2-1.7B-SFT-Tulu3-decontaminated Source: Original Platform
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ModelHub XC
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.gitattributes
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58
README.md
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README.md
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---
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base_model: HuggingFaceTB/SmolLM2-1.7B
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library_name: transformers
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model_name: ali-elganzory/SmolLM2-1.7B-SFT-Tulu3-decontaminated
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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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# Model Card for ali-elganzory/SmolLM2-1.7B-SFT-Tulu3-decontaminated
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-1.7B](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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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="ali-elganzory/SmolLM2-1.7B-SFT-Tulu3-decontaminated", 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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## Training procedure
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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/openeurollm-project/instruction-tuning/runs/tyv554zh)
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.27.0
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- Transformers: 4.57.6
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- Pytorch: 2.6.0+cu126
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- Datasets: 4.5.0
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- Tokenizers: 0.22.2
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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added_tokens.json
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added_tokens.json
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{
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"<|assistant|>": 49154,
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"<|system|>": 49152,
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"<|user|>": 49153
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}
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all_results.json
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all_results.json
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{
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"total_flos": 3199233565392896.0,
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"train_loss": 0.8991405903616938,
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"train_runtime": 65922.1312,
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"train_samples": 936509,
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"train_samples_per_second": 28.413,
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"train_steps_per_second": 0.222
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}
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chat_template.jinja
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chat_template.jinja
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{%- for message in messages -%}
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{%- if message["role"] == "system" -%}
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{{- "<|system|>
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" + message["content"] + "
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" -}}
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{%- elif message["role"] == "user" -%}
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{{- "<|user|>
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" + message["content"] + "
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" -}}
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{%- elif message["role"] == "assistant" -%}
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{%- if not loop.last -%}
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{{- "<|assistant|>
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" + message["content"] + eos_token + "
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" -}}
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{%- else -%}
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{{- "<|assistant|>
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" + message["content"] + eos_token -}}
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{%- endif -%}
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{%- endif -%}
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{%- if loop.last and add_generation_prompt -%}
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{{- "<|assistant|>
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" -}}
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{%- endif -%}
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{%- endfor -%}
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29
config.json
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dtype": "bfloat16",
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"eos_token_id": 0,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 24,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 130000,
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"tie_word_embeddings": true,
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"transformers_version": "4.57.6",
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"use_cache": true,
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"vocab_size": 49216
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}
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generation_config.json
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generation_config.json
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{
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merges.txt
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model.safetensors
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model.safetensors
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special_tokens_map.json
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|endoftext|>",
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"<|im_start|>",
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}
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}
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244976
tokenizer.json
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tokenizer.json
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tokenizer_config.json
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tokenizer_config.json
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{
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"<gh_stars>",
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}
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8
train_results.json
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train_results.json
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{
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"total_flos": 3199233565392896.0,
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trainer_state.json
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training_args.bin
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3
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0ffbe4579e54918110ee2b7e9c795607ee22c8033d5eab93fd399b15871bccf4
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size 8120
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1
vocab.json
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vocab.json
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Reference in New Issue
Block a user