GLM 4.7 Flash — Hardware Requirements & GPU Compatibility
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GLM 4.7 Flash is a 31.2B-parameter open language model from zai-org in the GLM family. It supports a context window of up to 202,752 tokens. At Q4_K_M it needs about 19.82 GB of VRAM — see which GPUs and Macs can run it below.
1.1M downloads
1.7K likesSpecifications
- Publisher
- zai-org
- Family
- GLM
- Parameters
- 31.2B
- Architecture
- Glm4MoeLiteForCausalLM
- Context Length
- 202,752 tokens
- Vocabulary Size
- 154,880
- Release Date
- 2026-01-29
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does GLM 4.7 Flash Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 14.4 GB | 91.6 GB | 13.27 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 14.8 GB | 92.0 GB | 13.66 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 16.3 GB | 93.6 GB | 15.22 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 16.7 GB | 94.0 GB | 15.61 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 19.8 GB | 97.1 GB | 18.73 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 23.3 GB | 100.6 GB | 22.25 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 26.9 GB | 104.1 GB | 25.76 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 32.3 GB | 109.6 GB | 31.22 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run GLM 4.7 Flash?
Q4_K_M · 19.8 GBGLM 4.7 Flash (Q4_K_M) requires 19.8 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 26+ GB is recommended. Using the full 203K context window can add up to 77.3 GB, bringing total usage to 97.1 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 GLM 4.7 Flash?
Q4_K_M · 19.8 GB21 devices with unified memory can run GLM 4.7 Flash, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 Pro (24 GB).
Runs great
— Plenty of headroomRelated Models
Derivatives (1)
Frequently Asked Questions
- How much VRAM does GLM 4.7 Flash need?
GLM 4.7 Flash requires 19.8 GB of VRAM at Q4_K_M, or 32.3 GB at Q8_0. Full 203K context adds up to 77.3 GB (97.1 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 31.2B × 4.8 bits ÷ 8 = 18.7 GB
KV Cache + Overhead ≈ 1.1 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 78.4 GB (at full 203K context)
VRAM usage by quantization
Q4_K_M19.8 GBQ4_K_M + full context97.1 GB- Can NVIDIA GeForce RTX 4090 run GLM 4.7 Flash?
Yes, at Q5_K_M (23.3 GB) or lower. Higher quantizations like Q6_K (26.9 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.
- What's the best quantization for GLM 4.7 Flash?
For GLM 4.7 Flash, Q4_K_M (19.8 GB) offers the best balance of quality and VRAM usage. Q5_K_S (22.6 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 9.7 GB.
VRAM requirement by quantization
IQ2_XXS9.7 GBQ3_K_S14.8 GBQ4_118.6 GBQ4_K_M ★19.8 GBQ5_K_S22.6 GBQ8_032.3 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run GLM 4.7 Flash on a Mac?
GLM 4.7 Flash requires at least 9.7 GB at IQ2_XXS, 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 GLM 4.7 Flash locally?
Yes — GLM 4.7 Flash can run locally on consumer hardware. At Q4_K_M quantization it needs 19.8 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is GLM 4.7 Flash?
At Q4_K_M, GLM 4.7 Flash can reach ~147 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~33 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 ÷ 19.8 × 0.55 = ~147 tok/s
Estimated speed at Q4_K_M (19.8 GB)
~147 tok/s~33 tok/s~110 tok/s~91 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of GLM 4.7 Flash?
At Q4_K_M, the download is about 18.73 GB. The full-precision Q8_0 version is 31.22 GB. The smallest option (IQ2_XXS) is 8.59 GB.
- Which GPUs can run GLM 4.7 Flash?
6 consumer GPUs can run GLM 4.7 Flash at Q4_K_M (19.8 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 GLM 4.7 Flash?
21 devices with unified memory can run GLM 4.7 Flash at Q4_K_M (19.8 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.