Radeon E8860 holds 47 of the models in our catalogue and is, in practice, a Q4_K_M card — the largest it takes is Moondream2 1.9B at Q4_K_M.
Neighbours in memory rather than in price: memory decides whether a card can do the job at all, so two cards of the same size at different prices is the comparison you are making. Ordered by memory, then bandwidth — not by the value column, which is worked out from bandwidth and price alone and therefore rewards a cheap card whatever its software stack does to that bandwidth in practice. Read it as one input, not as a ranking.
AMD Radeon E8860 — 2 GB VRAM.
- BRAND
- AMD
- VRAM
- 2 GB GDDR5
- BANDWIDTH
- 72 GB/s
- FP16 COMPUTE
- 0.8 TFLOPS
- FP32 COMPUTE
- 0.8 TFLOPS
- STREAM PROCESSORS
- 640
- TDP
- 37 W
- ARCHITECTURE
- GCN 1.0
With 2 GB VRAM and 72 GB/s bandwidth, this GPU handles models up to 1.61B parameters.
Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~8 tok/s.
| MODEL | SIZE | VRAM Q4 | TOK/S | AVG |
|---|---|---|---|---|
| GPT-2 XL 1.5B | 1.61B | 1.5 GB | 40 | 5.1 |
| stablelm-2-1_6b | 1.6B | 1.5 GB | 40 | 9.5 |
| Falcon-H1 1.5B | 1.55B | 1.4 GB | 41 | 43.8 |
| Qwen2.5-Coder-1.5B | 1.5B | 1.4 GB | 43 | 19.6 |
| Qwen2 Math 1.5B | 1.5B | 1.4 GB | 43 | 19.6 |
| Qwen 2.5 1.5B | 1.5B | 1.4 GB | 43 | 30.2 |
| Yi Coder 1.5B | 1.5B | 1.4 GB | 43 | 14.6 |
| Stella en 1.5B v5 | 1.5B | 1.4 GB | 43 | — |
| Phi-1 1.3B | 1.42B | 1.4 GB | 45 | 7.2 |
| Phi-1.5 1.3B | 1.42B | 1.4 GB | 45 | 7.2 |
| DeepSeek Coder 1.3B | 1.35B | 1.3 GB | 47 | 16.8 |
| EXAONE-4.0-1.2B | 1.3B | 1.3 GB | 49 | 18.9 |
| OPT 1.3B | 1.3B | 1.3 GB | 49 | 5.3 |
| MiniCPM-V 4.6 | 1.3B | 1.3 GB | 49 | 21.5 |
| LFM2.5-1.2B-Thinking | 1.2B | 1.2 GB | 53 | 19.6 |
| Llama-3.2-1B | 1.2B | 1.2 GB | 53 | 10.1 |
| LFM2 1.2B | 1.2B | 1.2 GB | 53 | 15.6 |
| Zamba2 1.2B | 1.2B | 1.2 GB | 53 | 41.5 |
| TinyLlama 1.1B | 1.1B | 1.2 GB | 58 | 13.6 |
| MiniCPM5 1B | 1.08B | 1.1 GB | 59 | 26.5 |