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Model: pratap18/smollm2-highlish-Hinglish-Everyday-Conversations-1M_V3
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model: pratap18/smollm2-highlish-Hinglish-Everyday-Conversations-1M_V2
+library_name: transformers
+model_name: smollm2-highlish-Hinglish-Everyday-Conversations-1M_V3
+tags:
+- generated_from_trainer
+- sft
+- trl
+licence: license
+---
+
+# Model Card for smollm2-highlish-Hinglish-Everyday-Conversations-1M_V3
+
+This model is a fine-tuned version of [pratap18/smollm2-highlish-Hinglish-Everyday-Conversations-1M_V2](https://huggingface.co/pratap18/smollm2-highlish-Hinglish-Everyday-Conversations-1M_V2).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+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?"
+generator = pipeline("text-generation", model="pratap18/smollm2-highlish-Hinglish-Everyday-Conversations-1M_V3", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[<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/iitguwahati/SmolLM2-135M-Hinglish-Training/runs/7se2hep2) 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.27.1
+- Transformers: 4.57.1
+- Pytorch: 2.8.0+cu126
+- Datasets: 4.4.2
+- Tokenizers: 0.22.1
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	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},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

chat_template.jinja

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+{% for message in messages %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "hidden_act": "silu",
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+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 9,
+  "num_hidden_layers": 30,
+  "num_key_value_heads": 3,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_interleaved": false,
+  "rope_scaling": null,
+  "rope_theta": 100000,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.1",
+  "use_cache": true,
+  "vocab_size": 49152
+}

generation_config.json

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+    0
+  ],
+  "pad_token_id": 0,
+  "transformers_version": "4.57.1"
+}

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special_tokens_map.json

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tokenizer_config.json

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