Qwen3-4B-Instruct-2507 vs Parable-Qwen3-4B-Claude-Fable-5-GGUF
Specs, VRAM requirements and download trends — updated 10 November 2026.
Qwen · A · Open weights
Params
4.0 B
Context
262,144
30d
2.6 M
apache-2.0 · commercial OK
AnkitAI · B · Open weights
Params
4.0 B
Context
40,960
30d
213 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-4B-Instruct-2507 | Parable-Qwen3-4B-Claude-Fable-5-GGUF |
|---|---|---|
| Parameters | 4.0 B | 4.0 B |
| Architecture | Qwen3ForCausalLM | — |
| Context length | 262,144 | 40,960 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 2,557,680 | 213,122 |
| Downloads all time | 66.6 M | 1.2 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2025-08-05 | 2026-07-09 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
4.0 M186 K
Qwen3-4B-Instruct-2507
Parable-Qwen3-4B-Claude-Fable-5-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Parable-Qwen3-4B-Claude-Fable-5-GGUF · Q4_K_M
3.8 GB / 24 GB
Qwen3-4B-Instruct-2507 · fp16 @ 256K ctx
28.6 GB / 24 GB