Chadrock 35B Ace Saber Rocmfp4 Mtp — Hardware Requirements & GPU Compatibility
ChatChadrock 35B Ace Saber Rocmfp4 Mtp is a 35B-parameter open language model from jcbtc. At Q4_K_M it needs about 23.10 GB of VRAM — see which GPUs and Macs can run it below.
Usable on a 24 GB GPU
Runs on 24 GB (Q4_K_M · ~28 tok/s · 4K)Macs from 24 GB (Q2_K · ~13 tok/s)
Apache 2.0
Reference GPU · RTX 4090 24 GB
Estimates, ±20% · how we estimate
Run Chadrock 35B Ace Saber Rocmfp4 Mtp
One recommended way. Every other method, OS and quant is in the step-by-step guide.
Recommended
vllm serve jcbtc/chadrock-35b-ace-saber-rocmfp4-mtp --max-model-len 16384vLLM repo with its own quantisation
Download: Weights on Hugging Face
Other ways
each opens step-by-stepRun in cloud
Fits on A40 (48 GB) (21 GB headroom) · Q4_K_M
- Generation speed
- ~20 tok/s
- generation speed
- Cost per 1M output tokens
- $4.96
- per 1M output tokens
How Much VRAM Does Chadrock 35B Ace Saber Rocmfp4 Mtp Need?
Select a quantization level; the listed hardware adheres to it.
| Quantization | VRAM | +32K | On RTX 4090 (reference) | |
|---|---|---|---|---|
| 16.4 GB | 24.7 GB | 2-bit · K-quant — 2-bit quantization with K-quant improvements | Fits: 16K context · ~40 tok/s | |
| 18.8 GB | 27.1 GB | 3-bit medium — 3-bit medium quantization | Fits: 16K context · ~35 tok/s | |
| 23.1 GB | 31.4 GB | 4-bit medium — 4-bit medium quantization — most popular sweet spot | Fits: 4K context · ~28 tok/s | |
| 27.4 GB | 35.7 GB | 5-bit medium — 5-bit medium quantization — good quality/size tradeoff | Does not fit: needs 31.3 GB | |
| 31.8 GB | 40.1 GB | 6-bit, very good — 6-bit quantization, very good quality | Does not fit: needs 35.6 GB | |
| 38.5 GB | 46.8 GB | 8-bit, near-lossless — 8-bit quantization, near-lossless | Does not fit: needs 42.4 GB | |
| 77 GB | 85.3 GB | 16-bit · bfloat — Brain floating point 16 — preferred for training | Does not fit: needs 80.9 GB |
Selected Q4_K_M
4-bit medium quantization27.0GBat 16K context
- Weights
- 22.3 GB
- KV cache
- 4.4 GB
- Overhead
- 0.3 GB
Fits RTX 4090 (reference) · fits up to 4K context · ~28 tok/s
≥50 tok/s needs ≥1.77 TB/s · RTX 5090 ~50
Which Hardware Can Run Chadrock 35B Ace Saber Rocmfp4 Mtp?
Q4_K_M · 23.1 GBChadrock 35B Ace Saber Rocmfp4 Mtp (Q4_K_M) requires 23.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 31+ GB is recommended. 7 GPUs can run it, including NVIDIA GeForce RTX 5090. 100 devices with unified memory can run Chadrock 35B Ace Saber Rocmfp4 Mtp, including Mac Studio (M3 Ultra, 256GB), Mac Studio (M3 Ultra, 512GB), Mac Studio M5 Max (36 GB).
≤ 20 GB
≤ 20 GB tier →doesn't fit · smallest quant needs 20.2 GB
32–40 GB
fits · 5.0 GB free · up to 32K ctx
1 GPU · 3 Mac classes · 4 device families
RTX 5090~50Simulate output on RTX 5090M5 Max36 GB~14Simulate output on Mac Studio M5 Max (36 GB)M532 GB~5Simulate output on MacBook Air 13" M5 (32 GB)Orin~6Simulate output on NVIDIA Jetson AGX Orin 32GBSnapdragon X Elite (X1E-80-100)~4Simulate output on Snapdragon X Elite Copilot+ PC
By VRAM tier · typical GPUs and Macs at Q4_K_M
Similar models
6| Model | Score | VRAM | tok/s | Why it is similar |
|---|---|---|---|---|
| Qwen3.6 35B A3BAlibaba | 106.8 | 22 GB | ~151 | same size |
| MiniCPM V 4.7 35B A3BOpenBMB | — | 22.1 GB | ~169 | same size |
| Ornith 1.5 35B A3Bornith-ai | — | 22 GB | ~151 | same size |
| Agents A1InternScience | — | 21.5 GB | ~171 | same size |
| Intern S2 PreviewInternLM | — | 73.2 GB | —needs > 24 GB | same size |
| EXAONE 4.5 33BLGAI-EXAONE | — | 23.9 GB | ~33 | same size |
Frequently Asked Questions
How much VRAM does Chadrock 35B Ace Saber Rocmfp4 Mtp need?
Chadrock 35B Ace Saber Rocmfp4 Mtp requires 23.1 GB of VRAM at Q4_K_M, or 77 GB at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 35B × 4.8 bits ÷ 8 = 21 GB
KV Cache + Overhead ≈ 2.1 GB (at 2K context + ~0.3 GB framework)
Fit ratings and hardware model lists check this model with room for a 16K-token context, which needs a little more memory.
VRAM usage by quantization
Can NVIDIA GeForce RTX 4090 run Chadrock 35B Ace Saber Rocmfp4 Mtp?
Yes, at Q4_K_M (23.1 GB) or lower. Higher quantizations like Q5_K_M (27.4 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.
What's the best quantization for Chadrock 35B Ace Saber Rocmfp4 Mtp?
For Chadrock 35B Ace Saber Rocmfp4 Mtp, Q4_K_M (23.1 GB) offers the best balance of quality and VRAM usage. Q5_K_M (27.4 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 16.4 GB.
VRAM requirement by quantization
★ Recommended — best balance of quality and VRAM usage.
Can I run Chadrock 35B Ace Saber Rocmfp4 Mtp on a Mac?
Yes — Mac Mini M5 Pro (24 GB) and 106 other Macs can run Chadrock 35B Ace Saber Rocmfp4 Mtp, the smallest at Q2_K. Apple Silicon uses unified memory, so the model shares RAM with the system. At Q4_K_M you need at least 23.1 GB of usable unified memory (RAM minus macOS overhead), from Mac Studio M1 Max (32 GB).
Can I run Chadrock 35B Ace Saber Rocmfp4 Mtp locally?
Yes — Chadrock 35B Ace Saber Rocmfp4 Mtp can run locally on consumer hardware. Popular tools include Ollama, LM Studio, and llama.cpp.
How fast is Chadrock 35B Ace Saber Rocmfp4 Mtp?
At Q4_K_M, Chadrock 35B Ace Saber Rocmfp4 Mtp can reach ~208 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~28 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 ÷ 23.1 × 0.65 = ~225 tok/s
Estimated speed at Q4_K_M (23.1 GB)
Real-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
What's the download size of Chadrock 35B Ace Saber Rocmfp4 Mtp?
At Q4_K_M, the download is about 21.00 GB. The full-precision BF16 version is 70.00 GB. The smallest option (Q2_K) is 14.88 GB.
Which GPUs can run Chadrock 35B Ace Saber Rocmfp4 Mtp?
7 consumer GPUs can run Chadrock 35B Ace Saber Rocmfp4 Mtp at Q4_K_M. Top options include AMD Radeon RX 7900 XTX, NVIDIA GeForce RTX 3090.
Which devices can run Chadrock 35B Ace Saber Rocmfp4 Mtp?
100 devices with unified memory can run Chadrock 35B Ace Saber Rocmfp4 Mtp at Q4_K_M (23.1 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (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.