Peach 9B 8k Roleplay — Hardware Requirements & GPU Compatibility
ChatRoleplay
Peach 9B 8k Roleplay is a 8.8B-parameter open language model from ClosedCharacter. It supports a context window of up to 16,384 tokens. At BF16 it needs about 18.16 GB of VRAM — see which GPUs and Macs can run it below.
29 downloads
122 likesSpecifications
- Publisher
- ClosedCharacter
- Parameters
- 8.8B
- Architecture
- LlamaForCausalLM
- Context Length
- 16,384 tokens
- Vocabulary Size
- 64,000
- Release Date
- 2025-01-15
- License
- MIT
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HuggingFace
How Much VRAM Does Peach 9B 8k Roleplay Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 18.2 GB | 19.6 GB | 17.66 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Peach 9B 8k Roleplay?
BF16 · 18.2 GBPeach 9B 8k Roleplay (BF16) requires 18.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 24+ GB is recommended. Using the full 16K context window can add up to 1.4 GB, bringing total usage to 19.6 GB. 6 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroom
Which Devices Can Run Peach 9B 8k Roleplay?
BF16 · 18.2 GB21 devices with unified memory can run Peach 9B 8k Roleplay, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 Pro (24 GB).
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Peach 9B 8k Roleplay need?
Peach 9B 8k Roleplay requires 18.2 GB of VRAM at BF16. Full 16K context adds up to 1.4 GB (19.6 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 8.8B × 16 bits ÷ 8 = 17.7 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 1.9 GB (at full 16K context)
VRAM usage by quantization
BF1618.2 GBBF16 + full context19.6 GB- Can I run Peach 9B 8k Roleplay on a Mac?
Peach 9B 8k Roleplay requires at least 18.2 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 Peach 9B 8k Roleplay locally?
Yes — Peach 9B 8k Roleplay can run locally on consumer hardware. At BF16 quantization it needs 18.2 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Peach 9B 8k Roleplay?
At BF16, Peach 9B 8k Roleplay can reach ~161 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~36 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 18.2 × 0.55 = ~161 tok/s
Estimated speed at BF16 (18.2 GB)
~161 tok/s~36 tok/s~120 tok/s~99 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Peach 9B 8k Roleplay?
At BF16, the download is about 17.66 GB.
- Which GPUs can run Peach 9B 8k Roleplay?
6 consumer GPUs can run Peach 9B 8k Roleplay at BF16 (18.2 GB). Top options include NVIDIA GeForce RTX 5090, AMD Radeon RX 7900 XT, AMD Radeon RX 7900 XTX. 1 GPU have plenty of headroom for comfortable inference.
- Which devices can run Peach 9B 8k Roleplay?
21 devices with unified memory can run Peach 9B 8k Roleplay at BF16 (18.2 GB), including Mac Mini M4 (32 GB), Mac Mini M4 Pro (24 GB), Mac Mini M4 Pro (48 GB), Mac Pro M2 Ultra (192 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.