GLM 4.7 Flash Heretic — Hardware Requirements & GPU Compatibility
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GLM 4.7 Flash Heretic is a 29.9B-parameter open language model from Olafangensan in the GLM 4 family. It supports a context window of up to 202,752 tokens. At Q4_K_M it needs about 19.05 GB of VRAM — see which GPUs and Macs can run it below.
1.6K downloads
17 likesSpecifications
- Publisher
- Olafangensan
- Family
- GLM 4
- Parameters
- 29.9B
- Architecture
- Glm4MoeLiteForCausalLM
- Context Length
- 202,752 tokens
- Vocabulary Size
- 154,880
- Release Date
- 2026-01-21
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does GLM 4.7 Flash Heretic Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 13.8 GB | 91.1 GB | 12.73 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 15.7 GB | 93.0 GB | 14.60 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 19.1 GB | 96.3 GB | 17.97 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 22.4 GB | 99.7 GB | 21.33 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 25.8 GB | 103.1 GB | 24.70 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 31.0 GB | 108.3 GB | 29.94 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 61.0 GB | 138.3 GB | 59.89 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 GLM 4.7 Flash Heretic?
Q4_K_M · 19.1 GBGLM 4.7 Flash Heretic (Q4_K_M) requires 19.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 25+ GB is recommended. Using the full 203K context window can add up to 77.3 GB, bringing total usage to 96.3 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 Heretic?
Q4_K_M · 19.1 GB21 devices with unified memory can run GLM 4.7 Flash Heretic, 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 GLM 4.7 Flash Heretic need?
GLM 4.7 Flash Heretic requires 19.1 GB of VRAM at Q4_K_M, or 61.0 GB at BF16. Full 203K context adds up to 77.3 GB (96.3 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 29.9B × 4.8 bits ÷ 8 = 18 GB
KV Cache + Overhead ≈ 1.1 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 78.3 GB (at full 203K context)
VRAM usage by quantization
Q4_K_M19.1 GBQ4_K_M + full context96.3 GB- Can NVIDIA GeForce RTX 4090 run GLM 4.7 Flash Heretic?
Yes, at Q5_K_M (22.4 GB) or lower. Higher quantizations like Q6_K (25.8 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.
- What's the best quantization for GLM 4.7 Flash Heretic?
For GLM 4.7 Flash Heretic, Q4_K_M (19.1 GB) offers the best balance of quality and VRAM usage. Q5_K_M (22.4 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 13.8 GB.
VRAM requirement by quantization
Q2_K13.8 GBQ4_K_M ★19.1 GBQ5_K_M22.4 GBQ6_K25.8 GBQ8_031.0 GBBF1661.0 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run GLM 4.7 Flash Heretic on a Mac?
GLM 4.7 Flash Heretic requires at least 13.8 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 GLM 4.7 Flash Heretic locally?
Yes — GLM 4.7 Flash Heretic can run locally on consumer hardware. At Q4_K_M quantization it needs 19.1 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is GLM 4.7 Flash Heretic?
At Q4_K_M, GLM 4.7 Flash Heretic can reach ~153 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~34 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 ÷ 19.1 × 0.55 = ~153 tok/s
Estimated speed at Q4_K_M (19.1 GB)
~153 tok/s~34 tok/s~114 tok/s~95 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 Heretic?
At Q4_K_M, the download is about 17.97 GB. The full-precision BF16 version is 59.89 GB. The smallest option (Q2_K) is 12.73 GB.
- Which GPUs can run GLM 4.7 Flash Heretic?
6 consumer GPUs can run GLM 4.7 Flash Heretic at Q4_K_M (19.1 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 Heretic?
21 devices with unified memory can run GLM 4.7 Flash Heretic at Q4_K_M (19.1 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.