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Model: Rumiii/Qwen2.5-0.5B-Med-Pre-Trained-92k Source: Original Platform
2026-07-14 17:13:09 +08:00
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--- a/README.md
+++ b/README.md
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+---
+library_name: transformers
+language:
+- en
+license: apache-2.0
+base_model: Qwen/Qwen2.5-0.5B
+tags:
+- transformers
+- medical
+- biomedical
+- continued-pretraining
+- qwen2.5
+- pubmed
+- causal-lm
+---
+# Qwen2.5-0.5B-Med-Pre-Trained-92k
+
+A continued pre-trained (CPT) version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on 92,000 English PubMed biomedical abstracts.
+
+# Info:
+
+![image](https://cdn-uploads.huggingface.co/production/uploads/66e00ba55e4fd4bfead4a97c/sgR9qgTbycJuyn-x-iqvp.png)
+
+
+## Training Details
+
+| Property | Value |
+|---|---|
+| Base model | Qwen/Qwen2.5-0.5B |
+| Training type | Full-parameter Continued Pre-Training (CPT) |
+| Dataset | VietAI/vi_pubmed (92k English abstracts) |
+| Tokens trained on | ~23.6 million |
+| Block size | 256 tokens |
+| Training objective | Causal Language Modeling (CLM) |
+| Optimizer | AdamW 8-bit (bitsandbytes) |
+| Learning rate | 2e-5 (cosine schedule) |
+| Hardware | Kaggle Tesla T4 (15.6GB VRAM) |
+| Training time | ~3h 45m |
+| Starting loss | 2.581 |
+| Final loss | ~2.48 |
+| Precision | fp32 master weights + AMP fp16 |
+
+## What is this model?
+
+This is a **base model** — not an instruction-tuned or chat model. It is intended as a domain-adapted foundation for further fine-tuning on medical instruction datasets.
+
+All 494M parameters were updated during training (no LoRA, no frozen layers). The model has been adapted toward biomedical vocabulary, PubMed abstract structure, and medical terminology through full-parameter CLM training.
+
+## Intended Use
+
+- Base model for downstream medical SFT
+- Research into biomedical domain adaptation
+- Starting point for medical reasoning models
+
+## Not Intended For
+
+- Direct conversational use (no instruction tuning)
+- Clinical decision making
+- Patient-facing applications
+
+## Next Step
+
+This model will be fine-tuned on a mixed instruction dataset (UltraChat + ReasonMed) to produce a conversational medical assistant.
+
+## Author
+
+Rumi Iqbal Sufi  
+Graduate Trainee, Excelra Knowledge Solutions, Hyderabad  
+HuggingFace: [Rumiii](https://huggingface.co/Rumiii)  
+GitHub: [sufirumii](https://github.com/sufirumii)  
+arXiv: [2506.09513](https://arxiv.org/abs/2506.09513)
--- a/chat_template.jinja
+++ b/chat_template.jinja
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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}
--- a/config.json
+++ b/config.json
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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "float16",
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 24,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "use_cache": false,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "do_sample": false,
+  "eos_token_id": [
+    151643
+  ],
+  "max_new_tokens": 2048,
+  "pad_token_id": 151643,
+  "transformers_version": "5.0.0"
+}
--- a/model.safetensors
+++ b/model.safetensors
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+version https://git-lfs.github.com/spec/v1
+oid sha256:a6ea162894de0a257c2629e7c2e30c425819b95fcce259834c43d914a89dc522
+size 988097536
--- a/tokenizer.json
+++ b/tokenizer.json
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+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": true,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}