Total runs:
701
Run Growth:
655
Growth Rate:
93.44%
Sponsored by
Agentkit
yasserrmd / qwen3-4b-agentic-reasoner
Model's Last Updated: July 27 2025
text-generation
Introduction of qwen3-4b-agentic-reasoner
Model Details of qwen3-4b-agentic-reasoner
Qwen3-4B-Agentic-Reasoner
yasserrmd/qwen3-4b-agentic-reasoner
is a merged model that combines the
agentic instruction-following strength
of
Menlo/Jan-nano
with the
reasoning and structured thought capabilities
of
POLARIS-Project/Polaris-4B-Preview
, using the
Qwen/Qwen3-4B
architecture as the base.
This merge was performed using mergekit and the TIES method for fine-grained parameter blending.
🧠 Intended Use
This model is intended for use in:
- Multi-step reasoning tasks
- Agent-style instruction following (CLI assistants, web automation)
- Educational assistance, planning, and explanation
- Natural language code generation, JSON/schema design
- Legal, productivity, and roleplay simulations
🧪 Merge Details
🔀 Merge Method
This model was merged using the TIES merge method with the Qwen/Qwen3-4B as the base model.
🤝 Models Merged
| Model | Role |
|---|---|
| POLARIS-Project/Polaris-4B-Preview | Deep reasoning & CoT |
| Menlo/Jan-nano | Agentic & Instruction-following |
⚙️ Configuration
models:
- model: POLARIS-Project/Polaris-4B-Preview
parameters:
weight: 0.5
- model: Menlo/Jan-nano
parameters:
weight: 0.5
merge_method: ties
base_model: Qwen/Qwen3-4B
parameters:
normalize: true
int8_mask: true
dtype: float16
📊 Prompt Evaluation
This model was evaluated on handcrafted prompts covering:
- Chain-of-thought reasoning
- Math and logic
- Code writing and CLI instructions
- JSON/schema generation
- Role-based planning and writing tasks
- Arabic translation
- Legal drafting
✅ Performance Highlights
| Criterion | Result |
|---|---|
| CoT Reasoning | Excellent (multi-step math, planning) |
| Agentic Tasks | Strong (shell scripts, terminal agents) |
| Code Output | Clean formatting and logical structure |
| Format Awareness | Recognizes JSON, email, legal structure |
| Instruction Follow-through | Reliable and contextual |
| Language Tasks | Accurate Arabic translation, paraphrase |
Average prompt score (0–3 scale): 2.15 All outputs were logical, well-structured, and contextually accurate for the prompt types.
🚀 Inference
To use the model:
from transformers import AutoTokenizer, AutoModelForCausalLM
model_id = "yasserrmd/qwen3-4b-agentic-reasoner"
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="auto", device_map="auto", trust_remote_code=True)
prompt = "Plan the first 3 steps for launching a nonprofit AI education platform."
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
⚠️ License & Use
Respect the licenses of the original merged models. This model is released for research and personal experimentation purposes.
🙏 Acknowledgments
Thanks to the teams behind:
- Alibaba's Qwen3 series
- Menlo/Jan-nano project
- POLARIS RL framework
- MergeKit by @cg123
Model by @yasserrmd
Runs of yasserrmd qwen3-4b-agentic-reasoner on huggingface.co
28
Total runs
0
24-hour runs
-1
3-day runs
-29
7-day runs
-30
30-day runs
More Information About qwen3-4b-agentic-reasoner huggingface.co Model
Url of qwen3-4b-agentic-reasoner
qwen3-4b-agentic-reasoner huggingface.co Url
Provider of qwen3-4b-agentic-reasoner huggingface.co
Other API from yasserrmd
Updated:July 30 2025
Total runs:
525
Run Growth:
428
Growth Rate:
81.52%
Total runs:
490
Run Growth:
271
Growth Rate:
55.31%
Total runs:
321
Run Growth:
305
Growth Rate:
95.02%
Total runs:
234
Run Growth:
29
Growth Rate:
12.39%
Total runs:
186
Run Growth:
0
Growth Rate:
0.00%
Total runs:
183
Run Growth:
0
Growth Rate:
0.00%
Total runs:
160
Run Growth:
0
Growth Rate:
0.00%
Total runs:
158
Run Growth:
0
Growth Rate:
0.00%
Total runs:
148
Run Growth:
0
Growth Rate:
0.00%
Total runs:
134
Run Growth:
-1.2K
Growth Rate:
-902.33%
Total runs:
117
Run Growth:
0
Growth Rate:
0.00%
Total runs:
106
Run Growth:
0
Growth Rate:
0.00%
Total runs:
88
Run Growth:
16
Growth Rate:
18.18%
Total runs:
80
Run Growth:
4
Growth Rate:
4.82%
Total runs:
75
Run Growth:
33
Growth Rate:
45.83%
Total runs:
73
Run Growth:
0
Growth Rate:
0.00%
Total runs:
72
Run Growth:
0
Growth Rate:
0.00%
Total runs:
68
Run Growth:
19
Growth Rate:
27.94%
Total runs:
65
Run Growth:
3
Growth Rate:
4.48%
Total runs:
62
Run Growth:
-306
Growth Rate:
-493.55%
Total runs:
60
Run Growth:
-13
Growth Rate:
-20.31%
Total runs:
56
Run Growth:
38
Growth Rate:
71.70%
Total runs:
56
Run Growth:
24
Growth Rate:
43.64%
Total runs:
53
Run Growth:
0
Growth Rate:
0.00%
Total runs:
51
Run Growth:
0
Growth Rate:
0.00%
Total runs:
48
Run Growth:
-19
Growth Rate:
-39.58%
Total runs:
39
Run Growth:
-9
Growth Rate:
-23.08%
Total runs:
31
Run Growth:
-2
Growth Rate:
-6.45%
Total runs:
30
Run Growth:
22
Growth Rate:
73.33%
Total runs:
27
Run Growth:
3
Growth Rate:
11.11%
Total runs:
26
Run Growth:
-19
Growth Rate:
-73.08%
Total runs:
25
Run Growth:
5
Growth Rate:
20.00%
Total runs:
22
Run Growth:
0
Growth Rate:
0.00%
Total runs:
21
Run Growth:
0
Growth Rate:
0.00%
Total runs:
18
Run Growth:
12
Growth Rate:
66.67%
Total runs:
18
Run Growth:
-11
Growth Rate:
-61.11%
Total runs:
17
Run Growth:
10
Growth Rate:
58.82%
Total runs:
17
Run Growth:
7
Growth Rate:
41.18%
Total runs:
16
Run Growth:
9
Growth Rate:
56.25%
Total runs:
15
Run Growth:
-4
Growth Rate:
-26.67%
Total runs:
14
Run Growth:
4
Growth Rate:
28.57%
Total runs:
14
Run Growth:
-3
Growth Rate:
-20.00%
Total runs:
13
Run Growth:
-4
Growth Rate:
-33.33%
Total runs:
12
Run Growth:
-14
Growth Rate:
-116.67%
Total runs:
10
Run Growth:
8
Growth Rate:
80.00%
Total runs:
10
Run Growth:
1
Growth Rate:
10.00%
Total runs:
10
Run Growth:
-6
Growth Rate:
-66.67%
Total runs:
10
Run Growth:
-12
Growth Rate:
-120.00%
Total runs:
9
Run Growth:
-4
Growth Rate:
-44.44%
Total runs:
8
Run Growth:
0
Growth Rate:
0.00%
Total runs:
8
Run Growth:
1
Growth Rate:
12.50%
Total runs:
8
Run Growth:
-8
Growth Rate:
-100.00%
Total runs:
7
Run Growth:
0
Growth Rate:
0.00%
Total runs:
7
Run Growth:
-2
Growth Rate:
-28.57%
Total runs:
7
Run Growth:
2
Growth Rate:
28.57%
Total runs:
6
Run Growth:
-2
Growth Rate:
-33.33%
Total runs:
6
Run Growth:
-28
Growth Rate:
-466.67%
Total runs:
6
Run Growth:
-48
Growth Rate:
-800.00%
Total runs:
5
Run Growth:
2
Growth Rate:
40.00%
Total runs:
4
Run Growth:
0
Growth Rate:
0.00%
Total runs:
4
Run Growth:
-6
Growth Rate:
-150.00%
Total runs:
4
Run Growth:
2
Growth Rate:
50.00%
Total runs:
3
Run Growth:
-18
Growth Rate:
-600.00%
Total runs:
3
Run Growth:
2
Growth Rate:
66.67%