Cerebras·Step3p5ForCausalLM

Step 3.5 Flash REAP 121B A11B — Hardware Requirements & GPU Compatibility

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Step 3.5 Flash REAP 121B A11B is a 121.0B-parameter open language model from Cerebras. It supports a context window of up to 262,144 tokens. At Q4_K_M it needs about 79.84 GB of VRAM — see which GPUs and Macs can run it below.

123 downloads 9 likes262K context

Specifications

Publisher
Cerebras
Parameters
121.0B
Architecture
Step3p5ForCausalLM
Context Length
262,144 tokens
Vocabulary Size
128,896
Release Date
2026-02-25
License
Other

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How Much VRAM Does Step 3.5 Flash REAP 121B A11B Need?

Select a quantization to see compatible GPUs below.

QuantizationBitsVRAM
Q2_Kest.3.4056.5 GB
Q3_K_Mest.3.9064.9 GB
Q4_K_Mest.4.8079.8 GB
Q5_K_Mest.5.7094.8 GB
Q6_Kest.6.60109.8 GB
Q8_0est.8.00133.1 GB
BF16est.16.00266.1 GB

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 Step 3.5 Flash REAP 121B A11B?

Q4_K_M · 79.8 GB

Step 3.5 Flash REAP 121B A11B (Q4_K_M) requires 79.8 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 104+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.

Which Devices Can Run Step 3.5 Flash REAP 121B A11B?

Q4_K_M · 79.8 GB

18 devices with unified memory can run Step 3.5 Flash REAP 121B A11B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, ASUS Ascent GX10.

Frequently Asked Questions

How much VRAM does Step 3.5 Flash REAP 121B A11B need?

Step 3.5 Flash REAP 121B A11B requires 79.8 GB of VRAM at Q4_K_M, or 266.1 GB at BF16.

VRAM = Weights + KV Cache + Overhead

Weights = 121.0B × 4.8 bits ÷ 8 = 72.6 GB

KV Cache + Overhead 7.2 GB (at 2K context + ~0.3 GB framework)

VRAM usage by quantization

79.8 GB

Learn more about VRAM estimation →

Can NVIDIA GeForce RTX 5090 run Step 3.5 Flash REAP 121B A11B?

No — Step 3.5 Flash REAP 121B A11B requires at least 56.5 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.

What's the best quantization for Step 3.5 Flash REAP 121B A11B?

For Step 3.5 Flash REAP 121B A11B, Q4_K_M (79.8 GB) offers the best balance of quality and VRAM usage. Q5_K_M (94.8 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 56.5 GB.

VRAM requirement by quantization

Q2_K
56.5 GB
Q4_K_M
79.8 GB
Q5_K_M
94.8 GB
Q6_K
109.8 GB
Q8_0
133.1 GB
BF16
266.1 GB

★ Recommended — best balance of quality and VRAM usage.

Learn more about quantization →

Can I run Step 3.5 Flash REAP 121B A11B on a Mac?

Step 3.5 Flash REAP 121B A11B requires at least 56.5 GB at Q2_K, 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 Step 3.5 Flash REAP 121B A11B locally?

Yes — Step 3.5 Flash REAP 121B A11B can run locally on consumer hardware. At Q4_K_M quantization it needs 79.8 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.

How fast is Step 3.5 Flash REAP 121B A11B?

At Q4_K_M, Step 3.5 Flash REAP 121B A11B can reach ~55 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.

tok/s = (bandwidth GB/s ÷ model GB) × efficiency

Example: NVIDIA B2008000 ÷ 79.8 × 0.65 = ~65 tok/s

Estimated speed at Q4_K_M (79.8 GB)

~65 tok/s
~65 tok/s
~55 tok/s

Real-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.

Learn more about tok/s estimation →

What's the download size of Step 3.5 Flash REAP 121B A11B?

At Q4_K_M, the download is about 72.58 GB. The full-precision BF16 version is 241.93 GB. The smallest option (Q2_K) is 51.41 GB.

Which GPUs can run Step 3.5 Flash REAP 121B A11B?

No single consumer GPU has enough VRAM to run Step 3.5 Flash REAP 121B A11B at Q4_K_M (79.8 GB). Multi-GPU or professional hardware is required.

Which devices can run Step 3.5 Flash REAP 121B A11B?

19 devices with unified memory can run Step 3.5 Flash REAP 121B A11B at Q4_K_M (79.8 GB), including ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), 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.