Model save

.gitattributes

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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model: BSC-LT/salamandra-7b
+library_name: transformers
+model_name: salamandra-2B-instruct-smoltalk
+tags:
+- generated_from_trainer
+- trl
+- sft
+licence: license
+---
+
+# Model Card for salamandra-2B-instruct-smoltalk
+
+This model is a fine-tuned version of [BSC-LT/salamandra-7b](https://huggingface.co/BSC-LT/salamandra-7b).
+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="sebcif/salamandra-2B-instruct-smoltalk", 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/sebcif-cenia/huggingface/runs/v0f55k8f) 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.13.0
+- Transformers: 4.48.1
+- Pytorch: 2.5.1
+- Datasets: 3.2.0
+- Tokenizers: 0.21.0
+
+## 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 Gallouédec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

all_results.json

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+    "total_flos": 7.581823572692173e+16,
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+    "train_runtime": 138.0411,
+    "train_samples": 1500,
+    "train_samples_per_second": 2.796,
+    "train_steps_per_second": 0.087
+}

config.json

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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "hidden_act": "silu",
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+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
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+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_token_id": 5,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.48.1",
+  "use_cache": false,
+  "vocab_size": 256000
+}

generation_config.json

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+  "bos_token_id": 4,
+  "do_sample": true,
+  "eos_token_id": 5,
+  "max_new_tokens": 25,
+  "pad_token_id": 5,
+  "repetition_penalty": 1.2,
+  "temperature": 0.1,
+  "top_p": 0.95,
+  "transformers_version": "4.48.1"
+}

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train_results.json

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trainer_state.json

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