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Can Tesla P4 8GB run qwen35b-a3b-fable-sft-abliterated?

NVIDIA · 8 GB GDDR5 · 192 GB/s bandwidth · hotdogs · 34.7B (active 3.0B) · MoE · model ctx up to 32K

FF · No FitComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA

No — qwen35b-a3b-fable-sft-abliterated at Q4 needs ≈ 20.39 GB even at 4K context, beyond the Tesla P4 8GB's 8 GB GDDR5. It would only run with heavy CPU/disk offload. Decode at Q4/8K: ≈ 17.3 tok/s (estimated, batch 1). FP16 needs ≈ 71.0 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Cheapest GPU that can: H100 80GB SXM5 See fit details →or☁️ Rent on RunPod from ~$0.50/hr

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K20.39 GBNo17.8 ± est.
Q48K default20.69 GBNo17.3 ± est.
Q432K22.49 GBNo14.6 ± est.
FP164K70.7 GBNo
FP168K default71.0 GBNo
FP1632K72.8 GBNo

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededTesla P4 8GB VRAM
Q419.09 GB0.6 GB1 GB20.69 GB8 GB
FP1669.4 GB0.6 GB1 GB71.0 GB8 GB

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