Rwkv 4 Pile 7B — Hardware Requirements & GPU Compatibility
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Rwkv 4 Pile 7B is a 7B-parameter open language model from BlinkDL. At BF16 it needs about 15.40 GB of VRAM — see which GPUs and Macs can run it below.
39.0K downloads
157 likesSpecifications
- Publisher
- BlinkDL
- Parameters
- 7B
- Release Date
- 2022-09-14
- License
- Apache 2.0
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HuggingFace
How Much VRAM Does Rwkv 4 Pile 7B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 15.4 GB | — | 14.00 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run Rwkv 4 Pile 7B?
BF16 · 15.4 GBRwkv 4 Pile 7B (BF16) requires 15.4 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 21+ GB is recommended. 26 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 5080.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run Rwkv 4 Pile 7B?
BF16 · 15.4 GB47 devices with unified memory can run Rwkv 4 Pile 7B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 (16 GB).
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Rwkv 4 Pile 7B need?
Rwkv 4 Pile 7B requires 15.4 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 7B × 16 bits ÷ 8 = 14 GB
KV Cache + Overhead ≈ 1.4 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF1615.4 GB- Can I run Rwkv 4 Pile 7B on a Mac?
Rwkv 4 Pile 7B requires at least 15.4 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Rwkv 4 Pile 7B locally?
Yes — Rwkv 4 Pile 7B can run locally on consumer hardware. At BF16 quantization it needs 15.4 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Rwkv 4 Pile 7B?
At BF16, Rwkv 4 Pile 7B can reach ~312 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~43 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 15.4 × 0.65 = ~338 tok/s
Estimated speed at BF16 (15.4 GB)
~338 tok/s~43 tok/s~338 tok/s~312 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Rwkv 4 Pile 7B?
At BF16, the download is about 14.00 GB.
- Which GPUs can run Rwkv 4 Pile 7B?
26 consumer GPUs can run Rwkv 4 Pile 7B at BF16 (15.4 GB). Top options include AMD Radeon RX 7900 XTX, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090 Ti, AMD Radeon RX 6800. 7 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Rwkv 4 Pile 7B?
49 devices with unified memory can run Rwkv 4 Pile 7B at BF16 (15.4 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.