Leaderboard / Edge0
Edge0 8B-A1B (preview)
Edge0 · Edge0 · released 2026-09-08 · data checked 2026-11-01
Edge0 8B-A1B (preview) is a 7.9B-parameter Mixture-of-Experts model (1.4B active per token) from Edge0, released 2026-09-08 under the Apache-2.0 license. It scores 47.2 on the Small LM Index, #15 of 26 small models. It needs about 5.7 GB of memory at 4-bit with an 8K-token context.
Small LM Index
47.2
#15 of 26 scored small models
Likely 42.3–52.0 · from 3 of 6 core benchmarks
Parameters
7.9B
1.4B active · MoE
Price per 1M tokens
—
No hosted API on OpenRouter; self-host
Context window
128K
tokens
Benchmarks
Each bar shows this model's score. The tick marks the best small model on that benchmark. Sources: 4 reported by Edge0. How we label sources.
Not reported: estimated
What the index model expects from this model's other scores. Not a measurement.
Humanity's Last Exam≈ 6
LiveCodeBench≈ 53
SWE-bench Verified≈ 28
Specifications
- Lab
- Edge0 (country not published · Other)
- Based on
- Ling 3.0 Tiny (fine-tune or distillation)
- Architecture
- Mixture-of-Experts
- Total parameters
- 7.9B
- Active parameters
- 1.4B
- Size class
- Small
- Context window
- 128K tokens
- Input modalities
- text
- Reasoning
- Hybrid (thinking on/off)
- License
- Apache-2.0
- Openness
- Open weights
- Memory to run
- ~5.7 GB at 4-bit, 8K context (more sizes)
- Hugging Face
- 2.5K downloads (30 days) · 108 likes
Compare with
- Edge0 8B-A1B (preview) vs Ling 3.0 Tiny (7.9B, index 51.9)
- Edge0 8B-A1B (preview) vs Gemma 3n E4B (7.8B, index 18.2)
- Edge0 8B-A1B (preview) vs Granite 4.2 8B (8B, index 63.5)
- Edge0 8B-A1B (preview) vs Ministral 3 8B (8B, index 55.2)
- Edge0 8B-A1B (preview) vs MiMo-7B-RL (7.8B, index 40.7)
Sources
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Run it locally
No GGUF build from a well-known publisher yet.
vLLM (GPU server)
vllm serve Edge0/Edge0-8B-A1B-previewFull-precision weights, for a server GPU.
Memory needed: weights, context cache and runtime buffers.
| Quantization | 4K context | 32K context | 128K context |
|---|---|---|---|
| 16-bit F16 | 17 GB | 17 GB | 20 GB |
| 8-bit Q8_0 | 9.2 GB | 10.0 GB | 13 GB |
| 4-bit Q4_K_M | 5.6 GB | 6.4 GB | 9.0 GB |