QuantTrio / text-generation updated 6 months ago

GLM-4.7-Flash-AWQ

Name: GLM-4.7-Flash-AWQ
Author: QuantTrio

Then, create a fresh Python environment (e.g. python3.12 venv) and run: bash pip install -U vllm --pre --index-url https://pypi.org/simple --extra-index-url https://wheels.vllm.ai/nightly pip install git+https://github.com/huggingface/transformers.git

Params

31.2 B

Context

202,752

Downloads 30d

203 K

Likes

Commercial use: allowed mit Not gated SAFETENSORS 2 languages View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (4 recorded)

203 K downloads in the last 30 days

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	i32	19.8 GB	26.9 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 198K ctx	19.8 GB	138.1 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/glm-4-7-flash-awq
{
  "hf_id": "QuantTrio/GLM-4.7-Flash-AWQ",
  "params_b": 31.22,
  "context_length": 202752,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 202874,
  "vram_estimates": [
    { "quant": "i32", "gb": 26.9 }
  ],
  "updated_at": "2026-08-03T01:00:38Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: Glm4MoeLiteForCausalLM
Parameters: 31.2 B
Tensor type: I32
Context length: 202,752
Vocabulary: 154,880
Layers / heads: 47 / 20
Licence: mit
First seen on the Hub: 2026-01-21
Base model: GLM-4.7-Flash
Training datasets: undisclosed
Added to our catalog: 2026-08-03

Family

Base model and the most-downloaded derivatives in the catalog.

Base GLM-4.7-Flash zai-org 2.1 M

Compare with

Qwen3-8B 16.3 M Qwen3.6-35B-A3B-NVFP4 11.3 M gpt-oss-20b 8.6 M Qwen3-32B 8.3 M dolphin-2.9.1-yi-1.5-34b 4.6 M OTel-2.0-LLM-31B-IT 3.3 M

Appears in

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