Instructions to use armand0e/Qwen3.5-9B-Opus-Agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use armand0e/Qwen3.5-9B-Opus-Agent with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="armand0e/Qwen3.5-9B-Opus-Agent")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("armand0e/Qwen3.5-9B-Opus-Agent")
model = AutoModelForImageTextToText.from_pretrained("armand0e/Qwen3.5-9B-Opus-Agent")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use armand0e/Qwen3.5-9B-Opus-Agent with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "armand0e/Qwen3.5-9B-Opus-Agent"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "armand0e/Qwen3.5-9B-Opus-Agent",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/armand0e/Qwen3.5-9B-Opus-Agent

SGLang

How to use armand0e/Qwen3.5-9B-Opus-Agent with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "armand0e/Qwen3.5-9B-Opus-Agent" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "armand0e/Qwen3.5-9B-Opus-Agent",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "armand0e/Qwen3.5-9B-Opus-Agent" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "armand0e/Qwen3.5-9B-Opus-Agent",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Unsloth Studio new

How to use armand0e/Qwen3.5-9B-Opus-Agent with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for armand0e/Qwen3.5-9B-Opus-Agent to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for armand0e/Qwen3.5-9B-Opus-Agent to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for armand0e/Qwen3.5-9B-Opus-Agent to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="armand0e/Qwen3.5-9B-Opus-Agent",
    max_seq_length=2048,
)

Docker Model Runner
How to use armand0e/Qwen3.5-9B-Opus-Agent with Docker Model Runner:
```
docker model run hf.co/armand0e/Qwen3.5-9B-Opus-Agent
```

Qwen3.5-9B-Opus-Agent / README.md

armand0e

Update README.md

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	---
	base_model: Qwen/Qwen3.5-9B
	tags:
	- text-generation-inference
	- transformers
	- unsloth
	- qwen3_5
	license: apache-2.0
	language:
	- en
	datasets:
	- TeichAI/claude-4.5-opus-high-reasoning-250x
	- armand0e/badlogicgames-pi-mono-opus-filtered
	---

	# Qwen3.5 9B - Opus Agent

	This is a finetune on Opus traces and a small dataset. Reasoning was left untouched

	Total train time: 4 hours


	## Benchmarks

	### General benchmarks

	![Benchmark Comparison](https://cdn-uploads.huggingface.co/production/uploads/66bcb202eb4f43ee8aa6bbfb/fhMQE5H-AsxdEEQlYmdvr.png)

	Benchmarks provided by [@nightmedia](https://huggingface.co/nightmedia), as always thanks for taking the time :)

	```
	arc arc/e boolq
	armand0e/Qwen3.5-9B-Opus-Agent 0.589 0.747 0.901
	Jackrong/Qwopus3.5-9B-Coder 0.561 0.721 0.89
	Qwen3.5-9B 0.571 0.719 0.895
	```

	### Targeted benchmarks

	Conducted via [BenchLocal](https://github.com/stevibe/BenchLocal). All benchmarks are 2-shot (1 retry on failure) for ease of comparison to the numbers found in [Jackrong's Qwopus3.5 Coder](https://huggingface.co/Jackrong/Qwopus3.5-9B-Coder-GGUF)

	All benchmarks for other models were done in Q8_0 only this model's benchmarks were done in Q4_K_M

	<h3 style="font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; margin: 22px 0 6px;">1. Instruction Following - InstructFollow-15</h3>
	<p style="font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; margin: 0 0 10px; color: #555;">InstructFollow-15 evaluates formatting, count, numbering, sentence, and length constraints.</p>
	<table style="width: 100%; border-collapse: collapse; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; margin-bottom: 24px;">
	<thead>
	<tr>
	<td colspan="4" style="padding: 8px 12px; font-weight: 600; color: #cc785c; border-bottom: 1px solid rgba(204, 120, 92, 0.25); background: rgba(204, 120, 92, 0.06);">Instruction Following - InstructFollow-15 Metrics</td>
	</tr>
	<tr style="background: rgba(128, 128, 128, 0.02);">
	<th style="padding: 7px 7px; padding-left: 20px; text-align: left; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Model</th>
	<th style="padding: 7px 7px; text-align: center; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Test Set</th>
	<th style="padding: 7px 7px; text-align: center; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Comprehensive Score</th>
	<th style="padding: 7px 7px; text-align: center; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Dimension Scores (A/B/C/D/E)</th>
	</tr>
	</thead>
	<tbody>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><b><a href="https://huggingface.co/armand0e/Qwen3.5-9B-Opus-Agent" style="color: #cc785c; text-decoration: none;">armand0e/Qwen3.5-9B-Opus-Agent</a></b></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">InstructFollow-15</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center; color: #cc785c; font-weight: bold;">97</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center; color: #cc785c; font-weight: bold;">100 / 100 / 100 / 85 / 100</td>
	</tr>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><a href="https://huggingface.co/Jackrong/Qwopus3.5-9B-coder-GGUF" style="color: #666; text-decoration: none;">Jackrong/Qwopus3.5-9B-coder</a></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">InstructFollow-15</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">93</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">100 / 100 / 100 / 67 / 100</td>
	</tr>
	</tbody>
	</table>

	<h3 style="font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; margin: 22px 0 6px;">2. Code Debugging & Bug Fixing - BugFind-15</h3>
	<p style="font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; margin: 0 0 10px; color: #555;">BugFind-15 evaluates real debugging capability across syntax bugs, logic errors, and trap code.</p>
	<table style="width: 100%; border-collapse: collapse; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; margin-bottom: 24px;">
	<thead>
	<tr>
	<td colspan="4" style="padding: 8px 12px; font-weight: 600; color: #cc785c; border-bottom: 1px solid rgba(204, 120, 92, 0.25); background: rgba(204, 120, 92, 0.06);">Code Debugging & Bug Fixing - BugFind-15 Metrics</td>
	</tr>
	<tr style="background: rgba(128, 128, 128, 0.02);">
	<th style="padding: 7px 7px; padding-left: 20px; text-align: left; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Model</th>
	<th style="padding: 7px 7px; text-align: center; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Test Set</th>
	<th style="padding: 7px 7px; text-align: center; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Comprehensive Score</th>
	<th style="padding: 7px 7px; text-align: center; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Dimension Scores (A/B/C/D/E)</th>
	</tr>
	</thead>
	<tbody>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><b><a href="https://huggingface.co/armand0e/Qwen3.5-9B-Opus-Agent" style="color: #cc785c; text-decoration: none;">armand0e/Qwen3.5-9B-Opus-Agent</a></b></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">BugFind-15</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center; color: #cc785c; font-weight: bold;">84</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center; color: #cc785c; font-weight: bold;">67 / 100 / 87 / 67 / 90</td>
	</tr>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><a href="https://huggingface.co/Jackrong/Qwopus3.5-9B-coder-GGUF" style="color: #666; text-decoration: none;">Jackrong/Qwopus3.5-9B-coder</a></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">BugFind-15</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">79</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">67 / 87 / 100 / 77 / 43</td>
	</tr>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><a href="https://huggingface.co/Jackrong/MLX-Qwen3.5-9B-DeepSeek-V4-Flash-8bit" style="color: #666; text-decoration: none;">Jackrong/MLX-Qwen3.5-9B-DeepSeek-V4-Flash</a></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">BugFind-15</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">75</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">67 / 100 / 67 / 57 / 80</td>
	</tr>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><a href="https://huggingface.co/armand0e/Qwen3.5-9B-Agent" style="color: #666; text-decoration: none;">armand0e/Qwen3.5-9B-Agent</a></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">BugFind-15</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">58</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">29 / 87 / 73 / 20 / 67</td>
	</tr>
	</tbody>
	</table>

	<h3 style="font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; margin: 22px 0 6px;">3. Tool Call Stability - ToolCall-15</h3>
	<p style="font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; margin: 0 0 10px; color: #555;">ToolCall-15 targets stability and precision in direct tool-calling behavior.</p>
	<table style="width: 100%; border-collapse: collapse; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; margin-bottom: 24px;">
	<thead>
	<tr>
	<td colspan="4" style="padding: 8px 12px; font-weight: 600; color: #cc785c; border-bottom: 1px solid rgba(204, 120, 92, 0.25); background: rgba(204, 120, 92, 0.06);">Tool Call Stability - ToolCall-15 Metrics</td>
	</tr>
	<tr style="background: rgba(128, 128, 128, 0.02);">
	<th style="padding: 7px 7px; padding-left: 20px; text-align: left; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Model</th>
	<th style="padding: 7px 7px; text-align: center; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Test Set</th>
	<th style="padding: 7px 7px; text-align: center; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Comprehensive Score</th>
	<th style="padding: 7px 7px; text-align: center; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Dimension Scores (A/B/C/D/E)</th>
	</tr>
	</thead>
	<tbody>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><b><a href="https://huggingface.co/armand0e/Qwen3.5-9B-Opus-Agent" style="color: #cc785c; text-decoration: none;">armand0e/Qwen3.5-9B-Opus-Agent</a></b></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">ToolCall-15</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center; color: #cc785c; font-weight: bold;">100</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center; color: #cc785c; font-weight: bold;">100 / 100 / 100 / 100 / 100</td>
	</tr>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><b><a href="https://huggingface.co/Jackrong/Qwopus3.5-9B-coder-GGUF" style="color: #cc785c; text-decoration: none;">Jackrong/Qwopus3.5-9B-coder</a></b></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">ToolCall-15</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center; color: #cc785c; font-weight: bold;">100</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center; color: #cc785c; font-weight: bold;">100 / 100 / 100 / 100 / 100</td>
	</tr>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><b><a href="https://huggingface.co/Qwen/Qwen3.5-9B" style="color: #cc785c; text-decoration: none;">Qwen/Qwen3.5-9B</a></b></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">ToolCall-15</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center; color: #cc785c; font-weight: bold;">100</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center; color: #cc785c; font-weight: bold;">100 / 100 / 100 / 100 / 100</td>
	</tr>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><a href="https://huggingface.co/armand0e/Qwen3.5-9B-Agent" style="color: #666; text-decoration: none;">armand0e/Qwen3.5-9B-Agent</a></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">ToolCall-15</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">93</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">100 / 100 / 100 / 67 / 100</td>
	</tr>
	</tbody>
	</table>

	<h3 style="font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; margin: 22px 0 6px;">4. Complex Agent Performance - HermesAgent-20</h3>
	<p style="font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; margin: 0 0 10px; color: #555;">HermesAgent-20 evaluates complex agent behavior across memory, orchestration, skill use, scheduling, and delegation.</p>
	<table style="width: 100%; border-collapse: collapse; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; margin-bottom: 24px;">
	<thead>
	<tr>
	<td colspan="4" style="padding: 8px 12px; font-weight: 600; color: #cc785c; border-bottom: 1px solid rgba(204, 120, 92, 0.25); background: rgba(204, 120, 92, 0.06);">Complex Agent Performance - HermesAgent-20 Metrics</td>
	</tr>
	<tr style="background: rgba(128, 128, 128, 0.02);">
	<th style="padding: 7px 7px; padding-left: 20px; text-align: left; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Model</th>
	<th style="padding: 7px 7px; text-align: center; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Test Set</th>
	<th style="padding: 7px 7px; text-align: center; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Comprehensive Score</th>
	<th style="padding: 7px 7px; text-align: center; border-bottom: 1px solid rgba(128, 128, 128, 0.15); font-size: 13px; color: #666;">Core Dimensions (Memory / Orchestration / Skills / Scheduling / Boundaries)</th>
	</tr>
	</thead>
	<tbody>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><b><a href="https://huggingface.co/Jackrong/Qwopus3.5-9B-coder-GGUF" style="color: #cc785c; text-decoration: none;">Jackrong/Qwopus3.5-9B-coder</a></b></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">HermesAgent-20</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center; color: #cc785c; font-weight: bold;">85</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center; color: #cc785c; font-weight: bold;">84 / 93 / 88 / 75 / 84</td>
	</tr>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><a href="https://huggingface.co/armand0e/Qwen3.5-9B-Opus-Agent" style="color: #666; text-decoration: none;">armand0e/Qwen3.5-9B-Opus-Agent</a></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">HermesAgent-20</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">80</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">100 / 93 / 80 / 75 / 50</td>
	</tr>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><a href="https://huggingface.co/Qwen/Qwen3.5-9B" style="color: #666; text-decoration: none;">Qwen/Qwen3.5-9B</a></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">HermesAgent-20</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">71</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">75 / 58 / 100 / 53 / 69</td>
	</tr>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><a href="https://huggingface.co/armand0e/Qwen3.5-9B-Agent" style="color: #666; text-decoration: none;">armand0e/Qwen3.5-9B-Agent</a></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">HermesAgent-20</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">68</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">71 / 83 / 43 / 61 / 80</td>
	</tr>
	<tr>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); padding-left: 20px;"><a href="https://huggingface.co/DJLougen/Harmonic-Hermes-9B" style="color: #666; text-decoration: none;">DJLougen/Harmonic-Hermes-9B</a></td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">HermesAgent-20</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">47</td>
	<td style="padding: 7px 7px; border-bottom: 1px solid rgba(128, 128, 128, 0.15); text-align: center;">60 / 45 / 23 / 69 / 38</td>
	</tr>
	</tbody>
	</table>

	<details>
	<summary>Click to show screenshots</summary>

	Ignore the gemma-4 llama.cpp alias I had set, this was old and I forgot to change it

	#### ToolCall-15

	![image](https://cdn-uploads.huggingface.co/production/uploads/66bcb202eb4f43ee8aa6bbfb/Mfh_EiXuHX9G8yHZaBwUz.png)

	#### HermesAgent-20

	![image](https://cdn-uploads.huggingface.co/production/uploads/66bcb202eb4f43ee8aa6bbfb/9sdPJzdwl10FpoRO1qRJD.png)

	#### BugFind-15

	![image](https://cdn-uploads.huggingface.co/production/uploads/66bcb202eb4f43ee8aa6bbfb/8J4GVlZMkYCegLUBwon9K.png)

	#### InstructFollow-15

	![image](https://cdn-uploads.huggingface.co/production/uploads/66bcb202eb4f43ee8aa6bbfb/5gnnjvnroS6OAN94-urpj.png)

	</details>

	## Training Script

	<details>
	<summary>Training Script</summary>

	```py
	# -- coding: utf-8 --
	import os
	from unsloth import FastModel
	import torch
	from trl import SFTConfig, SFTTrainer
	from teich import mask_data, prepare_data

	MAX_SEQ_LEN = 32768
	MODEL_NAME = os.environ.get("MODEL_NAME", "qwen/Qwen3.5-9B")
	OUTPUT_DIR = os.environ.get("OUTPUT_DIR", "outputs/qwen-tool-sft")
	HUB_REPO_ID = os.environ.get("HUB_REPO_ID", "armand0e/Qwen3.5-9B-Opus-Agent")
	HF_TOKEN = os.environ.get("HF_TOKEN", "")

	model, tokenizer = FastModel.from_pretrained(
	model_name=MODEL_NAME,
	max_seq_length=MAX_SEQ_LEN,
	load_in_4bit=False,
	load_in_8bit=False,
	full_finetuning=False,
	)

	model = FastModel.get_peft_model(
	model,
	finetune_vision_layers = False, # Turn off for just text!
	finetune_language_layers = True, # Should leave on!
	finetune_attention_modules = True, # Attention good for GRPO
	finetune_mlp_modules = True, # Should leave on always!

	r = 32, # Larger = higher accuracy, but might overfit
	lora_alpha = 64, # Recommended alpha == r at least
	lora_dropout = 0,
	bias = "none",
	random_state = 3407,
	)

	train_dataset = prepare_data(
	{
	"chat": {
	"source": "TeichAI/claude-4.5-opus-high-reasoning-250x"
	},
	"opus-agent": {
	"source": "armand0e/badlogicgames-pi-mono-opus-filtered",
	},
	},
	tokenizer,
	split="train",
	hf_token=HF_TOKEN,
	chat_template_kwargs={"enable_thinking": True},
	max_length=MAX_SEQ_LEN,
	drop_oversized_examples=True,
	trim_oversized_followups=True,
	tokenize=True,
	strict=True,
	)

	trainer = SFTTrainer(
	model=model,
	tokenizer=tokenizer,
	train_dataset=train_dataset,
	eval_dataset=None,
	args=SFTConfig(
	dataset_text_field="text",
	dataset_num_proc=1,
	max_length=MAX_SEQ_LEN,
	packing=False,
	per_device_train_batch_size=1,
	gradient_accumulation_steps=8,
	warmup_steps= 5,
	num_train_epochs=2,
	learning_rate=2e-5,
	logging_steps=1,
	save_steps=100,
	save_total_limit=3,
	optim="adamw_8bit",
	weight_decay=0.01,
	max_grad_norm=0.3,
	lr_scheduler_type="linear",
	output_dir=OUTPUT_DIR,
	seed=3407,
	report_to="none",
	),
	)

	trainer = mask_data(
	trainer,
	tokenizer=tokenizer,
	train_on_reasoning=False,
	train_on_final_answers=True,
	train_on_tools=True,
	)

	print(trainer.train_dataset.preview())

	trainer_stats = trainer.train(resume_from_checkpoint=False)

	model.push_to_hub(f"{HUB_REPO_ID}-LoRA", token=HF_TOKEN)
	tokenizer.push_to_hub(f"{HUB_REPO_ID}-LoRA", token=HF_TOKEN)

	model.push_to_hub_merged(HUB_REPO_ID, tokenizer, save_method="merged_16bit", token=HF_TOKEN)
	```

	</details>

	---
	The data for this model was easily formatted and masked with [Teich](https://github.com/TeichAI/teich)

	- Developed by: armand0e
	- License: apache-2.0
	- Finetuned from model : Qwen/Qwen3.5-9B

	This qwen3_5 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

	[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)