AImodelsComparison.com 1,054 models
Menu
Models Best of Trending Can I run it? Methodology About
1,054 models · refreshed nightly

Text generation models

Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.

Task
All text-generation 410 text-to-image 153 ASR 92 image-text-to-text 89 sentence-similarity 61 feature-extraction 47 translation 47 text-classification 42 image-classification 34 token-classification 27 text-to-speech 12 audio-classification 11 object-detection 11 summarization 9 image-segmentation 9
Runs on
Any RTX 3060 · 12 GB RTX 4070 · 16 GB RTX 4090 · 24 GB 2 × 24 GB Mac M3 · 24 GB Mac M4 Max · 64 GB
Licence
Size
$
410 models
#ModelParamsContextCommercial use30dMin VRAM
01 Qwen3-0.6B Qwen · text-generation 750 M 41 K ✓ apache-2.0 23.0 M from 2.3 GB
02 gpt2 openai-community · text-generation 140 M — ✓ mit 15.4 M from 1.1 GB
03 Qwen3-8B Qwen · text-generation 8.2 B 41 K ✓ apache-2.0 12.9 M from 19.7 GB
04 Qwen3-Coder-30B-A3B-Instruct-GGUF unsloth · text-generation — — ✓ apache-2.0 12.7 M from 12.9 GB
05 Qwen2.5-7B-Instruct Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 9.7 M from 18.4 GB
06 Qwen2.5-0.5B-Instruct Qwen · text-generation 490 M 33 K ✓ apache-2.0 8.5 M from 1.7 GB
07 Qwen3.6-35B-A3B-NVFP4 nvidia · text-generation 18.7 B — ✓ apache-2.0 8.3 M from 29.1 GB
08 opt-125m facebook · text-generation 125 M 2 K other 7.4 M from 0.8 GB
09 Qwen2.5-1.5B-Instruct Qwen · text-generation 1.5 B 33 K ✓ apache-2.0 7.2 M from 4.1 GB
10 Qwen3-4B Qwen · text-generation 4.0 B 41 K ✓ apache-2.0 7.1 M from 10.0 GB
11 Llama-3.2-1B-Instruct meta-llama · text-generation · gated 1.2 B — ⚠ llama3.2 7.0 M from 3.4 GB
12 OTel-2.0-LLM-31B-IT farbodtavakkoli · text-generation 31.3 B 262 K ✓ apache-2.0 6.9 M from 144.6 GB
13 gpt-oss-20b openai · text-generation 21.5 B 131 K ✓ apache-2.0 6.7 M from 34.0 GB
14 Llama-3.1-8B-Instruct meta-llama · text-generation · gated 8.0 B — ⚠ llama3.1 5.9 M from 19.4 GB
15 Ornith-1.5-9B-GGUF ornith-ai · text-generation — — ✓ mit 5.8 M from 6.9 GB
16 gpt-oss-120b openai · text-generation 120.4 B 131 K ✓ apache-2.0 5.1 M from 162.1 GB
17 Qwen2.5-3B-Instruct Qwen · text-generation 3.1 B 33 K other 5.1 M from 7.8 GB
18 Qwen3-32B Qwen · text-generation 32.8 B 41 K ✓ apache-2.0 5.0 M from 77.5 GB
19 Ornith-1.0-9B-GGUF deepreinforce-ai · text-generation — — ✓ mit 4.9 M from 6.7 GB
20 dolphin-2.9.1-yi-1.5-34b dphn · text-generation 34.4 B 8 K ✓ apache-2.0 4.8 M from 81.3 GB
21 Ornith-1.5-35B-A3B-GGUF ornith-ai · text-generation — — ✓ mit 4.6 M from 24.4 GB
22 DeepSeek-V4-Flash-0731 deepseek-ai · text-generation 304.2 B 1.0 M ✓ mit 4.2 M from 229.7 GB
23 Qwen-72B Qwen · text-generation 72.3 B 33 K other 4.2 M from 170.4 GB
24 Qwen3-4B-Instruct-2507 Qwen · text-generation 4.0 B 262 K ✓ apache-2.0 4.0 M from 10.0 GB
25 Qwen3-1.7B Qwen · text-generation 2.0 B 41 K ✓ apache-2.0 3.8 M from 5.3 GB
26 Ornith-1.0-35B-GGUF deepreinforce-ai · text-generation — — ✓ mit 3.8 M from 23.8 GB
27 Kimi-K3-DSpark RadixArk · text-generation 2.3 B 1.0 M unknown 3.6 M from 5.8 GB
28 Qwen2.5-7B-Instruct-AWQ Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 3.5 M from 7.8 GB
29 NVIDIA-Nemotron-3-Nano-4B-BF16 nvidia · text-generation 4.0 B 262 K other 3.5 M from 9.8 GB
30 pythia-160m EleutherAI · text-generation 210 M 2 K ✓ apache-2.0 3.5 M from 0.9 GB
31 Ornith-1.0-9B-GGUF ornith-ai · text-generation — — ✓ mit 3.3 M from 6.7 GB
32 gemma-3-1b-it google · text-generation · gated 1.0 B — ⚠ gemma 2.9 M from 2.8 GB
33 Ornith-1.0-35B deepreinforce-ai · text-generation <0.1 M — ✓ mit 2.8 M from 77.7 GB
34 Qwen2.5-Coder-7B-Instruct Qwen · text-generation 7.6 B 33 K ✓ apache-2.0 2.6 M from 18.4 GB
35 Qwen3-14B-AWQ Qwen · text-generation 14.8 B 41 K ✓ apache-2.0 2.6 M from 13.7 GB
36 DeepSeek-V3.2 deepseek-ai · text-generation 685.4 B 164 K ✓ mit 2.4 M from 861.7 GB
37 Ornith-1.0-9B deepreinforce-ai · text-generation <0.1 M — ✓ mit 2.4 M from 21.2 GB
38 Qwen2.5-14B-Instruct Qwen · text-generation 14.8 B 33 K ✓ apache-2.0 2.4 M from 35.2 GB
39 Qwen3.8-27B-Uncensored-GGUF JonathanColetti · text-generation — — ✓ apache-2.0 2.3 M from 1.5 GB
40 Qwen2.5-32B-Instruct Qwen · text-generation 32.8 B 33 K ✓ apache-2.0 2.2 M from 77.5 GB
41 Ornith-1.0-35B-GGUF ornith-ai · text-generation — — ✓ mit 2.1 M from 23.8 GB
42 SmolLM2-135M HuggingFaceTB · text-generation 130 M 8 K ✓ apache-2.0 2.1 M from 0.8 GB
43 distilgpt2 distilbert · text-generation 90 M — ✓ apache-2.0 2.1 M from 0.9 GB
44 Qwen2.5-14B-Instruct-AWQ Qwen · text-generation 14.8 B 33 K ✓ apache-2.0 2.1 M from 13.7 GB
45 Ornith-1.0-35B ornith-ai · text-generation <0.1 M — ✓ mit 2.0 M from 77.7 GB
46 deepseek-v4-gguf antirez · text-generation — — ✓ mit 2.0 M from 4.7 GB
47 Qwen3-14B Qwen · text-generation 14.8 B 41 K ✓ apache-2.0 1.9 M from 35.2 GB
48 GLM-4.7-Flash zai-org · text-generation 31.2 B 203 K ✓ mit 1.9 M from 73.9 GB
49 Llama-3.2-3B-Instruct meta-llama · text-generation · gated 3.2 B — ⚠ llama3.2 1.8 M from 8.0 GB
50 Qwen2.5-Coder-14B-Instruct Qwen · text-generation 14.8 B 33 K ✓ apache-2.0 1.8 M from 35.2 GB
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.