unsloth
GLM 4.7
GLM 4.7 is a 358.3B mixture-of-experts glm4moe model from unsloth, with about 71.7B parameters active per token. Configured context length is 202,752 tokens. License: mit. Quant sizes are the GGUF file bytes published on Hugging Face when a file exists.
Parameters358B / 71.7B active
Context198K
Attentiongqa
Licensemit
92 layers · 8 KV heads · head dim 128 · GGUF repo · config
Quant file sizes
| Quant | File size | Source |
|---|---|---|
| BF16 | 667.6 GB | Hugging Face file bytes |
| UD-Q8_K_XL | 367.7 GB | Hugging Face file bytes |
| Q8_0 | 354.8 GB | Hugging Face file bytes |
| UD-Q6_K_XL | 280.4 GB | Hugging Face file bytes |
| Q6_K | 274.2 GB | Hugging Face file bytes |
| UD-Q5_K_XL | 236.2 GB | Hugging Face file bytes |
| Q5_K_M | 236.8 GB | Hugging Face file bytes |
| Q5_K_S | 230.0 GB | Hugging Face file bytes |
| UD-Q4_K_XL | 190.5 GB | Hugging Face file bytes |
| Q4_K_M | 201.6 GB | Hugging Face file bytes |
| Q4_K_S | 189.7 GB | Hugging Face file bytes |
| IQ4_NL | 188.6 GB | Hugging Face file bytes |
| IQ4_XS | 178.4 GB | Hugging Face file bytes |
| Q4_1 | 209.2 GB | Hugging Face file bytes |
| Q4_0 | 189.1 GB | Hugging Face file bytes |
| UD-Q3_K_XL | 147.8 GB | Hugging Face file bytes |
| Q3_K_M | 159.5 GB | Hugging Face file bytes |
| Q3_K_S | 144.4 GB | Hugging Face file bytes |
| UD-IQ3_XXS | 135.2 GB | Hugging Face file bytes |
| UD-Q2_K_XL | 125.9 GB | Hugging Face file bytes |
| Q2_K | 244.5 GB | Hugging Face file bytes |
| UD-IQ2_XXS | 108.0 GB | Hugging Face file bytes |
| UD-IQ1_M | 100.3 GB | Hugging Face file bytes |
| UD-IQ1_S | 90.5 GB | Hugging Face file bytes |
On common machines
| Device | Verdict | Quant | Speed |
|---|---|---|---|
| GeForce RTX 4060 Ti 8GB | Won't fit | UD-IQ1_S | — |
| GeForce RTX 3060 12GB | Won't fit | UD-IQ1_S | — |
| GeForce RTX 4060 Ti 16GB | Won't fit | UD-IQ1_S | — |
| GeForce RTX 4090 | Won't fit | UD-IQ1_S | — |
| GeForce RTX 5090 | Won't fit | UD-IQ1_S | — |
| Apple M4 Pro | Won't fit | UD-IQ1_S | — |
| Apple M5 | Won't fit | UD-IQ1_S | — |
| CPU only · DDR5-5600 | Won't fit | UD-IQ1_S | — |
Smallest devices that fit it fully
- NVIDIA H200 SXM — Tight fit, UD-Q2_K_XL, 88–119 tok/s
- NVIDIA B200 — Runs, UD-Q3_K_XL, 126–172 tok/s
Run it
Commands for the GeForce RTX 4060 Ti 16GB estimate (UD-IQ1_S).
llama.cpp
llama-server -hf unsloth/GLM-4.7-GGUF:UD-IQ1_S -c 2048 -ngl 0
No matching name in the Ollama library snapshot.
LM Studio
lms get unsloth/GLM-4.7-GGUF # Then load quant UD-IQ1_S