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Model: artificialguybr/QWEN-2.5-0.5B-Synthia-I
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-0.5B
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- generated_from_trainer
+- instruction-tuning
+model-index:
+- name: outputs/qwen2.5-0.5b-ft-synthia15-i
+  results: []
+---
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+
+# Qwen2.5-0.5B Fine-tuned on Synthia v1.5-I
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on the Synthia v1.5-I dataset, which contains over 20.7k instruction-following examples.
+
+## Model Description
+
+Qwen2.5-0.5B is part of the latest Qwen2.5 series of large language models. The base model brings significant improvements in:
+- Instruction following and generating long texts
+- Understanding structured data and generating structured outputs
+- Support for over 29 languages
+- Long context support up to 32,768 tokens
+
+This fine-tuned version enhances the base model's instruction-following capabilities through training on the Synthia v1.5-I dataset.
+
+### Model Architecture
+- Type: Causal Language Model
+- Parameters: 0.49B (0.36B non-embedding)
+- Layers: 24
+- Attention Heads: 14 for Q and 2 for KV (GQA)
+- Context Length: 32,768 tokens
+- Training Framework: Transformers 4.45.0.dev0
+
+## Intended Uses & Limitations
+
+This model is intended for:
+- Instruction following and task completion
+- Text generation and completion
+- Conversational AI applications
+
+The model inherits the multilingual capabilities and long context support of the base Qwen2.5-0.5B model, while being specifically tuned for instruction following.
+
+## Training Procedure
+
+### Training Data
+The model was fine-tuned on the Synthia v1.5-I dataset containing 20.7k instruction-following examples.
+
+### Training Hyperparameters
+
+The following hyperparameters were used during training:
+- Learning rate: 1e-05
+- Train batch size: 5
+- Eval batch size: 5
+- Seed: 42
+- Gradient accumulation steps: 8
+- Total train batch size: 40
+- Optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- LR scheduler type: cosine
+- LR scheduler warmup steps: 100
+- Number of epochs: 3
+- Sequence length: 4096
+- Sample packing: enabled
+
+---
+### 🌐 Website
+You can find more of my models, projects, and information on my official website:
+- **[artificialguy.com](https://artificialguy.com/)**
+
+
+### 🚀 Prompt Hub
+Need high-quality prompts for image models and LLMs? Explore **[findgoodprompt.com](https://findgoodprompt.com)**.
+### 💖 Support My Work
+If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects.
+- **Patreon:** [Support on Patreon](https://www.patreon.com/user?u=81570187)
+- **Ko-fi:** [Buy me a Ko-fi](https://ko-fi.com/artificialguybr)
+- **Buy Me a Coffee:** [Buy me a Coffee](https://buymeacoffee.com/jvkape)
+- Pad to sequence length: enabled
+
+## Framework Versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1
+
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`

added_tokens.json

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+}

config.json

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+{
+  "_name_or_path": "Qwen/Qwen2.5-0.5B",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 24,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.0.dev0",
+  "use_cache": false,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.45.0.dev0"
+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer_config.json

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+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}