Model Detail human-review-recommended
SmolLM2 1.7B
Hugging Face's SmolLM2 1.7B. Tiny but capable, fits anywhere.
SMOLLM2apache-2.02024-11
Parameters
1.7B
Dense model
Context window
8K
Standard context
Architecture
decoder only transformer
dense
Quality score
70
Planner signal
Task Fit
Code AgentNot a fit
Not marked for code agent in the current library.
CodeNot a fit
Not marked for code in the current library.
ChatSupported
General writing, Q&A, and assistant use.
RAGSupported
Document QA benefits from long context and instruction following.
VisionNot a fit
Not marked for vision in the current library.
Image GenerationNot a fit
Not marked for image generation in the current library.
Video GenerationNot a fit
Not marked for video generation in the current library.
VoiceNot a fit
Not marked for voice in the current library.
Source Confidence
Overallhigh · 86/100
ParametersReviewed / seeded
Task fitReviewed / seeded
MemorySeeded artifact
LicenseSource / seed
BenchmarksMissing
Hardware fitCalculated
Review flags
missing benchmarks
Variants and Quant Artifacts
Choose the artifact first; hardware fit follows from RAM, VRAM, format, and runtime.
| Quant | Format | Quality | Min RAM | Reco RAM | Runtime | Action |
|---|---|---|---|---|---|---|
| Q4_K_M | gguf | balanced | 3GB | 4GB | ollama, llama.cpp, lm-studio | Plan with this |
| Q8_0 | gguf | high | 4GB | 4GB | ollama, llama.cpp, lm-studio | Plan with this |
Recommended Hardware
Cheapest That Works
Raspberry Pi 5 8GB
Lowest estimated 5-year cost that can run this model.
8GB RAM$277 / 5y
Best Value
Mac mini M4 16GB
Plenty of fast-memory headroom for this model.
16GB RAM$670 / 5y
Best Performance
NVIDIA RTX 6000 Blackwell 96GB
Highest local performance signal among compatible hardware.
96GB VRAM$12,376 / 5y
Benchmarks
No benchmark data is available for this model yet.
Source and Review
Hugging FaceHuggingFaceTB/SmolLM2-1.7B-Instruct
Ollamasmollm2:1.7b
Verificationhuman-review-recommended
Artifact sourceseeded
Default variantSmolLM2 1.7B Coder
Tool callingNot marked