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dan-omni-smolm2-v2
sodan/dan-omni-smolm2-v2
dan-omni-smolm2-v2 is a text generation model from sodan. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
Improved quality variant of dan-omni-smolm2. Same ultralight footprint (259 MB) with better instruction following and response quality.
All-time downloads
110
Public
Repo size
271 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.gguf271 MB · 100%
At a glance
- Task
- Text Generation
- License
- apache-2.0
- Access
- Public
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026
- SHA
- cc69ba8f
Try a prompt
Model card
From the Hugging Face model README
dan-omni-smolm2-v2
Improved quality variant of dan-omni-smolm2. Same ultralight footprint (259 MB) with better instruction following and response quality.
Model Description
| Property | Value |
|---|---|
| Base Model | HuggingFace SmolLM2 |
| Fine-tuning | Improved LoRA on expanded instruction data |
| Context Length | 4096 tokens |
| Parameters | ~1.7B |
| File Size | 259 MB |
| RAM Usage | ~400 MB at inference |
System Prompt
You are dan, a helpful AI assistant for mobile devices. You can help with general questions, writing, math, coding, translation, and creative tasks. Keep answers concise and natural. Don't explain your architecture unless asked.
Benchmarks
Tested on Intel i9-9880H @ 2.30GHz, 16GB RAM, Ollama runtime.
| Category | Avg tok/s | Prompt tok/s | Tokens | Time |
|---|---|---|---|---|
| Reasoning | 60.5 | 542.4 | 25 | 0.4s |
| Coding | 62.0 | 542.4 | 52 | 0.8s |
| Creative Writing | 61.3 | 542.4 | 127 | 2.1s |
| Instruction Following | 62.5 | 542.4 | 56 | 0.9s |
| Math | 63.2 | 542.4 | 25 | 0.4s |
| General Knowledge | 63.0 | 542.4 | 35 | 0.6s |
| Average | 62.1 | 542.4 | 53 | 0.9s |
Comparison vs Competitors
| Model | Size | Speed | Quality | RAM |
|---|---|---|---|---|
| dan-omni-smolm2-v2 | 259 MB | 62.1 tok/s | Medium+ | ~400 MB |
| dan-omni-smolm2 | 259 MB | 62.2 tok/s | Medium | ~400 MB |
| SmolLM2-135M (base) | 140 MB | ~80 tok/s | Low | ~250 MB |
| LFM2-1.2B | ~0.7 GB | ~45 tok/s | Medium-High | ~1 GB |
| Gemma 4 E2B | ~1.4 GB | ~35 tok/s | High | ~2 GB |
Why v2? 18% more tokens generated per prompt (53 vs 43 avg) with same speed. Better creative writing and instruction following than v1.
v1 vs v2
| Metric | dan-omni-smolm2 | dan-omni-smolm2-v2 |
|---|---|---|
| Avg tok/s | 62.2 | 62.1 |
| Avg tokens/output | 43 | 53 (+23%) |
| Creative tokens | 79 | 127 (+61%) |
| File size | 259 MB | 259 MB |
Dan Omni Model Family
| Model | Size | Speed | Use Case |
|---|---|---|---|
| dan-omni-3b | 3.5 GB | 11.3 tok/s | Full multimodal (text + vision) |
| dan-omni-3b-mobile | 1.2 GB | 9.8 tok/s | Compressed for mobile, 2K context |
| dan-omni-3b-q3s | 1.5 GB | 12.8 tok/s | Aggressive quantization |
| dan-omni-smolm2 | 259 MB | 62.2 tok/s | Ultralight, fastest |
| dan-omni-smolm2-v2 | 259 MB | 62.1 tok/s | Improved quality variant |
Usage
ollama pull sodan/dan-omni-smolm2-v2
ollama run sodan/dan-omni-smolm2-v2
./llama-cli -m dan-omni-smolm2-v2.gguf -p "Hello" --ctx-size 4096
Intended Use
- Same as dan-omni-smolm2 but with better quality
- When you need faster responses but can't sacrifice too much quality
- Creative writing, instruction-heavy tasks
Limitations
- Same base limitations as dan-omni-smolm2
- Still noticeably weaker than 3B models on complex reasoning
License
Apache 2.0
- Task
- Text Generation
- License
- apache-2.0
- Languages
- en
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026