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Model: Mohamed132411/Qwen3-4B-FitGPT-AR-EN-Instruct
Source: Original Platform
---
 .gitattributes                   |  36 +++
 README.md                        | 230 +++++++++++++++++
 chat_template.jinja              |  61 +++++
 config.json                      |  71 ++++++
 model-00001-of-00002.safetensors |   3 +
 model-00002-of-00002.safetensors |   3 +
 model.safetensors.index.json     | 406 +++++++++++++++++++++++++++++++
 tokenizer.json                   |   3 +
 tokenizer_config.json            |  17 ++
 9 files changed, 830 insertions(+)
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 create mode 100644 tokenizer.json
 create mode 100644 tokenizer_config.json

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diff --git a/README.md b/README.md
new file mode 100644
index 0000000..4d0431d
--- /dev/null
+++ b/README.md
@@ -0,0 +1,230 @@
+---
+language:
+- en
+- ar
+base_model: Qwen/Qwen3-4B-Instruct-2507
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen3
+- fitness
+- arabic
+- bilingual
+- agent
+- json-output
+pipeline_tag: text-generation
+license: apache-2.0
+---
+
+# Qwen3-4B-FitGPT-AR-EN-Instruct
+
+<p align="center">
+  <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="180"/>
+</p>
+
+## Overview
+
+**Qwen3-4B-FitGPT-AR-EN-Instruct** is a specialized bilingual fitness AI model, fine-tuned on top of a custom-merged Qwen3-4B foundation. It is designed to deliver **science-based, practical fitness and nutrition guidance** in both **Arabic and English**, while maintaining strict instruction-following capabilities including structured JSON output for agent-based systems.
+
+This is the **full merged model** (LoRA adapters merged into 16-bit weights), ready for direct deployment without any additional adapter loading.
+
+---
+
+## Model Details
+
+| Property | Value |
+|----------|-------|
+| **Developed by** | Mohamed Ramadan |
+| **Model Type** | Causal Language Model (Custom Merged Base + Fine-tuned) |
+| **Base Architecture** | Custom DARE-TIES Merge of `Qwen3-4B-Instruct-2507` + `Qwen3-4B` |
+| **Model Format** | Full Weights — LoRA adapters merged into 16-bit base |
+| **Languages** | Arabic 🇸🇦 & English 🇺🇸 |
+| **Training Framework** | Unsloth + Hugging Face TRL |
+| **License** | Apache 2.0 |
+
+---
+
+## Key Capabilities
+
+### 🏋️ Bilingual Fitness Expert
+Delivers detailed, science-backed advice on:
+- Workout programming & periodization
+- Macro/micro nutrition planning
+- Exercise technique and form cues
+- Recovery and injury prevention
+
+### 🤖 Strict Agent / JSON Mode
+The model is trained to follow formatting instructions precisely:
+- Returns **only valid JSON** when asked — no markdown wrappers, no preamble
+- Returns **only a number** when asked for a number
+- Returns **only a list** when asked for a list
+- Never adds unsolicited commentary
+
+### 🌍 Arabic-Native Support
+Unlike most fitness models that treat Arabic as an afterthought, this model was fine-tuned with a dedicated Arabic fitness corpus (`CIDAR` + `alpaca-gpt4-arabic` + custom data), enabling fluent, natural Arabic responses.
+
+---
+
+## Training Pipeline
+
+The model was developed through a **3-stage engineering pipeline**:
+
+```
+Stage 1 — Foundation Merging
+  Qwen3-4B-Instruct-2507 (55–70%)
+          +
+  Qwen3-4B Base (30–45%)
+  ─────────────────────────────
+  Method: DARE-TIES (layer-wise weights)
+  Result: Custom bilingual base
+
+Stage 2 — Supervised Fine-Tuning
+  ~7,000 curated samples
+  Curriculum-ordered (easy → hard)
+  LoRA: r=64, alpha=128
+  Framework: Unsloth + TRL (SFT)
+
+Stage 3 — Weight Integration
+  LoRA adapters merged into 16-bit base
+  Result: Standalone deployment-ready model
+```
+
+### Training Dataset Composition (~7,000 samples)
+
+| Source | Domain | Language |
+|--------|--------|----------|
+| chibbss/fitness-chat | Fitness Q&A | EN |
+| onurSakar/GYM-Exercise | Exercise library | EN |
+| its-myrto/fitness-QA | Fitness Q&A | EN |
+| Varick/workout-routine | Workout programs | EN |
+| hammam/fitness-qa | Fitness synthetic | EN |
+| arbml/CIDAR | General instructions | AR |
+| alpaca-gpt4-arabic | General conversation | AR |
+| mlabonne/FineTome-100k | Complex instructions | EN |
+| Custom Agent examples | JSON / strict format | EN + AR |
+
+All samples passed quality filters (deduplication, min-length, response quality) and were **curriculum-sorted** from easiest to hardest before training.
+
+---
+
+## System Prompts
+
+For best results, use one of these system prompts:
+
+**Fitness Coach (English):**
+```
+You are Qwen3-4B-FitGPT-AR-EN-Instruct, an elite fitness coach and sports nutritionist. Give science-based, detailed, personalised advice on training, nutrition, exercise technique, and recovery. Be specific and practical.
+```
+
+**Fitness Coach (Arabic):**
+```
+أنت Qwen3-4B-FitGPT-AR-EN-Instruct، مدرب لياقة بدنية نخبة وأخصائي تغذية رياضية. تقدّم نصائح علمية دقيقة ومخصصة في التدريب والتغذية وأداء التمارين والتعافي. كن تفصيلياً وعملياً ومستنداً إلى أحدث الأبحاث العلمية.
+```
+
+**Agent / Strict JSON Mode:**
+```
+You are a precise AI assistant. Follow every instruction exactly. If asked for JSON output — ONLY valid JSON, no markdown, no explanation, no text before or after. If asked for a number, return only the number. Never add unsolicited commentary.
+```
+
+---
+
+## How to Use
+
+### Option A — Transformers (Local)
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "Mohamed132411/Qwen3-4B-FitGPT-AR-EN-Instruct"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto"
+)
+
+system = "You are an elite fitness coach. Give science-based, practical advice."
+user   = "Create a weekly muscle-building plan for a 25-year-old male, 80 kg, beginner."
+
+messages = [
+    {"role": "system", "content": system},
+    {"role": "user",   "content": user}
+]
+
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer([text], return_tensors="pt").to("cuda")
+
+with torch.no_grad():
+    outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.7, do_sample=True)
+
+print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
+```
+
+### Option B — Unsloth (Faster, 4-bit)
+
+```python
+from unsloth import FastLanguageModel
+
+model, tokenizer = FastLanguageModel.from_pretrained(
+    "Mohamed132411/Qwen3-4B-FitGPT-AR-EN-Instruct",
+    max_seq_length=2048,
+    load_in_4bit=True,
+)
+FastLanguageModel.for_inference(model)
+```
+
+### Option C — Agent / JSON Output
+
+```python
+import json
+
+AGENT_SYSTEM = (
+    "You are a precise AI assistant. Follow every instruction exactly. "
+    "If asked for JSON output — ONLY valid JSON, no markdown, no explanation. "
+    "Never add unsolicited commentary."
+)
+
+messages = [
+    {"role": "system", "content": AGENT_SYSTEM},
+    {"role": "user",   "content": "Return ONLY JSON: {exercise, sets, reps} for barbell squats."}
+]
+
+# ... generate as above, then:
+response = model_generate(messages, temperature=0.1)  # low temp for JSON
+data = json.loads(response)  # ✅ clean, parseable JSON
+```
+
+---
+
+## Example Outputs
+
+**Arabic fitness plan:**
+> سؤال: أنا مبتدئ عمري 25 وزني 85 كغ طولي 178. أريد خطة تدريبية أسبوعية.
+>
+> *الموديل يرد بخطة تفصيلية بالعربي مع التمارين والتكرارات والتغذية المناسبة.*
+
+**Strict JSON:**
+> Prompt: `Return ONLY JSON {exercise, sets, reps} for squats.`
+>
+> Output: `{"exercise": "Barbell Squat", "sets": 4, "reps": 8}`
+
+**Number-only:**
+> Prompt: `How many grams of protein per kg for a strength athlete? Return only the integer.`
+>
+> Output: `2`
+
+---
+
+## Related Repositories
+
+| Repo | Description |
+|------|-------------|
+| 🔗 [Qwen3-4B-FitGPT-AR-EN-Instruct](https://huggingface.co/Mohamed132411/Qwen3-4B-FitGPT-AR-EN-Instruct) | This repo — full 16-bit model |
+| ⚡ [Qwen3-4B-FitGPT-AR-EN-Instruct-GGUF](https://huggingface.co/Mohamed132411/Qwen3-4B-FitGPT-AR-EN-Instruct-GGUF) | Q4_K_M quantized — for Ollama & llama.cpp |
+
+---
+
+*Built with ❤️ by Mohamed Ramadan using Unsloth + Hugging Face*
\ No newline at end of file
diff --git a/chat_template.jinja b/chat_template.jinja
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--- /dev/null
+++ b/chat_template.jinja
@@ -0,0 +1,61 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- 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 %}
\ No newline at end of file
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..0bb68df
--- /dev/null
+++ b/config.json
@@ -0,0 +1,71 @@
+{
+    "architectures": [
+        "Qwen3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 151643,
+    "torch_dtype": "float16",
+    "eos_token_id": 151645,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 2560,
+    "initializer_range": 0.02,
+    "intermediate_size": 9728,
+    "layer_types": [
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+        "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",
+        "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": 262144,
+    "max_window_layers": 36,
+    "model_type": "qwen3",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 36,
+    "num_key_value_heads": 8,
+    "pad_token_id": 151643,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+        "rope_theta": 5000000,
+        "rope_type": "default"
+    },
+    "sliding_window": null,
+    "tie_word_embeddings": true,
+    "unsloth_version": "2026.4.5",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}
\ No newline at end of file
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diff --git a/tokenizer.json b/tokenizer.json
new file mode 100644
index 0000000..10c92fa
--- /dev/null
+++ b/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:476870a1f2fb6f6a2759a6ede2383bf9d5d738f17844563b65c91965b722ae09
+size 11422924
diff --git a/tokenizer_config.json b/tokenizer_config.json
new file mode 100644
index 0000000..cc6991e
--- /dev/null
+++ b/tokenizer_config.json
@@ -0,0 +1,17 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [],
+  "is_local": true,
+  "model_max_length": 262144,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "left",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\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    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if message.content is string %}\n        {%- set content = message.content %}\n    {%- else %}\n        {%- set content = '' %}\n    {%- endif %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- 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 %}"
+}
\ No newline at end of file