End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model: Qwen/Qwen2.5-1.5B-Instruct
+library_name: transformers
+model_name: Qwen2.5-1.5B-Instruct-databricks-dolly-15k
+tags:
+- generated_from_trainer
+- trl
+- sft
+licence: license
+---
+
+# Model Card for Qwen2.5-1.5B-Instruct-databricks-dolly-15k
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct).
+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="marcov/Qwen2.5-1.5B-Instruct-databricks-dolly-15k", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.12.0.dev0
+- Transformers: 4.45.1
+- Pytorch: 2.4.1
+- Datasets: 3.0.1
+- Tokenizers: 0.20.0
+
+## 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}}
+}
+```

added_tokens.json

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config.json

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+{
+  "_name_or_path": "Qwen/Qwen2.5-1.5B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
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+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
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+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
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+  "rms_norm_eps": 1e-06,
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+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
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+  "vocab_size": 151671
+}

generation_config.json

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+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.45.1"
+}

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tokenizer_config.json

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+    "<|context|>",
+    "<|response|>",
+    "<|category|>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{% set special_tokens = {'end': '<|end|>', 'instruction': '<|instruction|>', 'context': '<|context|>', 'response': '<|response|>', 'category': '<|category|>'} %}\n{% set bos_token = '<s>' %}\n{% set eos_token = '</s>' %}\n{{ bos_token -}}\n{% for message in messages %}\n{{ special_tokens[message.role] }} {{ message.content }}{{ special_tokens['end'] -}}\n{% endfor %}\n{% if generation_role %}\n{{ special_tokens[generation_role] -}}\n{% else %}\n{{ eos_token -}}\n{% endif %}",
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+}

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