Can Desktop PC · 2× GeForce RTX 3090 (48 GB) · 128 GB RAM run GLM-4.7-Flash (30B-A3B)?
48 GB VRAM + 128 GB RAM · 936 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: Q6_K (24 GB of weights) on Ollama. Generation: 130–220 tok/s, leaving about 22 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 | Q6_K | 130–220 tok/s | under 1 s | 8K | Details |
| Coding questionswith Continue | Excellent | Q6_K | 120–210 tok/s | under 1 s | 16K | Details |
| Coding in a repositorywith Aider | Comfortable | Q6_K | 100–170 tok/s | ≈2 s | 32K | Details |
| Agentic codingwith OpenCode | Comfortable | Q6_K | 95–160 tok/s | ≈3 s | 32K | Details |
| Long documents (64K)with Open WebUI | Excellent | Q8_0 | 60–100 tok/s | ≈10 s | 64K | Details |
Speeds are bandwidth-based estimates; no direct benchmark exists for this pair. “First reply” is the time to read the workload’s opening prompt. How we calculate
Get it running
Copy-paste commands for the Q8_0 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:Q8_0
Downloads 31.84 GB (Q8_0). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=65536 before `ollama serve` for long prompts.
Other models for Desktop PC · 2× GeForce RTX 3090 (48 GB) · 128 GB RAM
The best-rated models for chat on this machine.
- Qwen3.6 35B-A3B140–230 tok/sExcellent
- Gemma 4 26B-A4B110–180 tok/sExcellent
- Qwen3.5 35B-A3B140–230 tok/sExcellent
- LFM2.5 24B-A2B270–450 tok/sExcellent
- gpt-oss-20b160–270 tok/sExcellent
- Qwen3 30B-A3B Instruct 2507120–190 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
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.