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Model: Nanthasit/sakthai-context-7b-merged
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- qwen2.5
+- sakthai
+- tool-calling
+- instruct
+- merged
+- lora
+- text-generation
+- function-calling
+datasets:
+- Nanthasit/sakthai-combined-v5
+base_model: Qwen/Qwen2.5-7B-Instruct
+model-index:
+- name: sakthai-context-7b-merged
+  results:
+  - task:
+      type: text-generation
+      name: Tool-Calling & Instruction Following
+    dataset:
+      type: Nanthasit/sakthai-combined-v5
+      name: SakThai Workbench Eval
+    metrics:
+    - type: pass_rate
+      value: 100
+      name: Overall Pass Rate (8/8)
+---
+
+# SakThai Context 7B — Merged Model
+
+The best-performing model in the **SakThai Context** family. A full-parameter merged checkpoint of Qwen2.5-7B-Instruct with LoRA adapters fine-tuned for structured tool-calling and instruction following.
+
+**LoRA adapter:** [`Nanthasit/sakthai-context-7b-tools`](https://huggingface.co/Nanthasit/sakthai-context-7b-tools)  
+**Training data:** [`Nanthasit/sakthai-combined-v5`](https://huggingface.co/datasets/Nanthasit/sakthai-combined-v5)
+
+## Model Details
+
+| Property | Value |
+|---|---|
+| **Developed by** | Nanthasit |
+| **Base model** | [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) |
+| **Parameters** | 7.6B |
+| **Architecture** | Qwen2.5 decoder-only transformer |
+| **Precision** | BF16 |
+| **Fine-tuning method** | LoRA → merged (rank=16, alpha=32, target=q/k/v/o/gate/up/down) |
+| **License** | Apache 2.0 |
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained(
+    "Nanthasit/sakthai-context-7b-merged",
+    torch_dtype="bfloat16",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained("Nanthasit/sakthai-context-7b-merged")
+
+messages = [{"role": "user", "content": "What's the weather like in Bangkok?"}]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=256, temperature=0.7)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+### Tool Calling
+
+The model supports structured tool-calling via Qwen2.5's tokenizer tool schema:
+
+```python
+messages = [
+    {"role": "system", "content": "You are a helpful assistant with access to tools."},
+    {"role": "user", "content": "What's the weather in Bangkok?"}
+]
+tools = [
+    {
+        "type": "function",
+        "function": {
+            "name": "get_weather",
+            "description": "Get current weather",
+            "parameters": {"type": "object", "properties": {"location": {"type": "string"}}, "required": ["location"]}
+        }
+    }
+]
+text = tokenizer.apply_chat_template(messages, tools=tools, tokenize=False, add_generation_prompt=True)
+```
+
+## Evaluation Results
+
+Tested on a **Tesla T4** (5.56 GB VRAM) via Hugging Face Jobs:
+
+| Category | Result |
+|---|---|
+| Basic Response | ✅ 1/1 |
+| Context Recall | ✅ 1/1 |
+| Factual Accuracy | ✅ 1/1 |
+| Instruction Following | ✅ 1/1 |
+| JSON Output | ✅ 1/1 |
+| Multi-turn | ✅ 1/1 |
+| Name Recognition | ✅ 1/1 |
+| Tool Calling | ✅ 1/1 |
+| **Overall** | **✅ 8/8 (100%)** |
+
+**Model load time:** 137s on T4  
+**Full eval report:** [`eval/workbench-7b-2026-07-07.json`](https://huggingface.co/Nanthasit/sakthai-context-7b-merged/blob/main/eval/workbench-7b-2026-07-07.json)
+
+## Smaller Variants
+
+| Model | Size | Description |
+|---|---|---|
+| ⭐ [sakthai-context-1.5b-merged](https://huggingface.co/Nanthasit/sakthai-context-1.5b-merged) | 1.5B | Balanced size/quality |
+| ⭐ [sakthai-context-0.5b-merged](https://huggingface.co/Nanthasit/sakthai-context-0.5b-merged) | 0.5B | Lightweight for edge/CPU |
+
+## Files
+
+| File | Description |
+|---|---|
+| `model.safetensors` | Merged BF16 weights (13.8 GB) |
+| `config.json` | Model configuration |
+| `tokenizer.json` / `tokenizer_config.json` | Qwen2.5 tokenizer with chat template |
+| `generation_config.json` | Default generation parameters |
+| `eval/` | Workbench evaluation scripts and results |