Can Desktop PC · Radeon RX 7900 XTX · 32 GB RAM run GLM-4.7-Flash (30B-A3B)?
24 GB VRAM + 32 GB RAM · 960 GB/s memory bandwidth · GLM-4.7-Flash (30B-A3B) has 31.2B parameters (3B active per token).
Short answer
Yes, excellent for chat and comfortable or better for every workload we test.
Best quantization for chat: Q4_K_M (17 GB of weights) on Lemonade. Generation: 240–320 tok/s, leaving about 4.8 GB free for your other apps.
How it rates for each workload
Same model and machine, different jobs. Agents and long documents send far bigger prompts than chat, so they need much more speed and memory.
| Workload | Verdict | Quant | Generation | First reply | Context | |
|---|---|---|---|---|---|---|
| Chatwith Open WebUI | Excellent | Q4_K_M | 240–320 tok/s | under 1 s | 8K | Details |
| Coding questionswith Continue | Excellent | Q4_K_M | 220–290 tok/s | ≈2 s | 16K | Details |
| Coding in a repositorywith Aider | Comfortable | Q4_K_M | 170–230 tok/s | ≈4 s | 32K | Details |
| Agentic codingwith OpenCode | Comfortable | Q4_K_M | 150–210 tok/s | ≈6 s | 32K | Details |
| Long documents (64K)with Open WebUI | Excellent | Q4_K_M | 100–130 tok/s | ≈20 s | 64K | Details |
Speeds are estimates calibrated against measured benchmarks on similar hardware. “First reply” is the time to read the workload’s opening prompt. How we calculate
Get it running
Copy-paste commands for the Q4_K_M build with a 64K context. Ollama and llama.cpp download the file straight from Hugging Face.
ollama run hf.co/unsloth/GLM-4.7-Flash-GGUF:Q4_K_M
Downloads 18.31 GB (Q4_K_M). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=65536 before `ollama serve` for long prompts.
Other models for Desktop PC · Radeon RX 7900 XTX · 32 GB RAM
The best-rated models for chat on this machine.
- Qwen3.6 35B-A3B240–320 tok/sExcellent
- Gemma 4 26B-A4B160–220 tok/sExcellent
- LFM2.5 24B-A2B350–480 tok/sExcellent
- gpt-oss-20b210–280 tok/sExcellent
- Qwen3.5 35B-A3B240–320 tok/sExcellent
- Qwen3 30B-A3B Instruct 2507170–230 tok/sExcellent
Cheapest machines for GLM-4.7-Flash (30B-A3B)
Hardware rated comfortable or better for chat, lowest price first.
- Laptop · Ryzen AI 9 HX 370 (Radeon 890M) · 32 GB$1,300 · 25–40 tok/sComfortable
- Laptop · Core Ultra 7 258V (Arc 140V) · 32 GB$1,300 · 20–35 tok/sComfortable
- Mac mini M4 32 GB$1,399 · 30–40 tok/sExcellent
- Desktop PC · Ryzen 9 9950X (no GPU) · 64 GB DDR5$1,400 · 10–17 tok/sComfortable
- Desktop PC · Intel Arc Pro B60 24GB · 32 GB RAM$1,500 · 70–120 tok/sExcellent
- Ryzen AI Max+ 395 mini PC / Framework Desktop · 64 GB$1,600 · 55–75 tok/sExcellent
Same chip, other memory: 64 GB
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.