Autor: Jakub Rusinowski · Ostatnia aktualizacja: 20 marca 2026
Model library → Cogito v1 → Cogito v1 8B
Mid-tier Cogito variant optimized for 8 GB VRAM GPUs. Dynamic reasoning gives it reasoning quality comparable to Llama 3.1 70B on math benchmarks, while running on a single RTX 4060. Best price-to-performance reasoning model at the 8B tier.
Cogito v1 8B needs about 6 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache. On Apple Silicon that figure comes out of unified memory.
| Parameters | 8 Billion |
| Context window | 32,000 |
| Architecture | Hybrid Reasoning Transformer |
| Provider | Deep Cogito |
| Licence | Apache 2.0 |
| Specified at | Q4_K_M |
| System RAM | 16 GB |
| Record updated | 2026-03-20 |
Apache-2.0 — commercial use permitted. Commercial use permitted. No usage restrictions beyond attribution.
Modelled on a reference NVIDIA RTX 4090 (24 GB), at 8K context. Speed figures are ESTIMATES from the memory-bandwidth roofline described on the methodology page, not benchmarks we ran — rows marked measured come from published or reader-submitted runs. VRAM here includes the KV cache, so it reads higher than the headline figure above, which does not.
| Quant | Weights | VRAM needed | Est. speed | Fit on 24 GB |
|---|---|---|---|---|
| Q2_K | 2.6 GB | 4.5 GB | ~155 tok/s (est.) | Fits comfortably |
| Q3_K_M | 3.4 GB | 5.3 GB | ~134 tok/s (est.) | Fits comfortably |
| Q4_K_M | 4.8 GB | 6.7 GB | ~107 tok/s (est.) | Fits comfortably |
| Q5_K_M | 5.7 GB | 7.5 GB | ~96 tok/s (est.) | Fits comfortably |
| Q6_K | 6.6 GB | 8.4 GB | ~86 tok/s (est.) | Fits comfortably |
| Q8_0 | 8.5 GB | 10.4 GB | ~70 tok/s (est.) | Fits comfortably |
| F16 | 16.0 GB | 17.9 GB | ~41 tok/s (est.) | Fits comfortably |
Want the memory numbers alone, at every quantization level and your own context length? Use the Cogito v1 8B VRAM calculator.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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The cheapest catalogued GPU that runs Cogito v1 8B is the Intel Arc B570 (10 GB).
Install Ollama, then run:
ollama run cogito:8bWeights on Hugging Face: deepcogito/Cogito-v1-8B-Instruct.
Quality scores as published by the model's authors or an independent evaluator — not throughput, and not measured by us.
| Benchmark | Score | Provenance |
|---|---|---|
| MMLU | 75.3 / 100 % | reported |
| MATH | 65.8 / 100 % | reported |
| HumanEval | 70.2 / 100 % | reported |
Best for: reasoning, math, local inference, consumer gpu.
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