RedHatAI AI Models

Tracked by OpenModelStats since Aug 23, 2026 · View on Hugging Face ↗

Tracked models
282
Downloads 30D
8.9M
Total downloads
120.9M
Total likes
2,311
Gained 7D
2.4M

Most downloaded

  1. 1Qwen3.6-35B-A3B-NVFP4Aug 13, 20261M
  2. 2NVIDIA-Nemotron-3.5-Lightning-30B-A3B-FP8Sep 17, 2026950.3K
  3. 3gemma-4-26B-A4B-it-FP8-dynamicAug 13, 2026890.2K
  4. 4Qwen3.8-27B-INT4Sep 28, 2026569.9K
  5. 5Llama-3.2-3B-Instruct-FP8-dynamicOct 9, 2024518.2K
  6. 6gemma-4-31B-it-FP8-blockAug 13, 2026433K
  7. 7Qwen3-32B-NVFP4Nov 21, 2025411.8K
  8. 8gemma-4-26B-A4B-it-NVFP4Aug 13, 2026315.2K
  9. 9gemma-3-27b-it-quantized.w4a16Jun 9, 2025293.7K
  10. 10Qwen3-Coder-Next-FP8-dynamicFeb 27, 2026288.1K

Fastest growing

  1. 1Qwen3.6-35B-A3B-NVFP4+314.9K in 7D1M
  2. 2NVIDIA-Nemotron-3.5-Lightning-30B-A3B-FP8+238.5K in 7D950.3K
  3. 3gemma-4-26B-A4B-it-FP8-dynamic+218K in 7D890.2K
  4. 4Qwen3-Coder-Next-FP8-dynamic+162.9K in 7D288.1K
  5. 5Llama-3.2-3B-Instruct-FP8-dynamic+127.5K in 7D518.2K
  6. 6gemma-4-31B-it-FP8-block+118.7K in 7D433K
  7. 7Qwen3.8-27B-INT4+117.4K in 7D569.9K
  8. 8Qwen3-32B-NVFP4+106.3K in 7D411.8K
  9. 9Llama-3.2-3B-Instruct-FP8+94.2K in 7D184.9K
  10. 10gemma-3-27b-it-quantized.w4a16+88.9K in 7D293.7K

Recently updated

  1. 1Qwen3.8-27B-MXFP4Oct 8, 2026853
  2. 2gemma-4-31B-it-speculator.dflashOct 7, 2026646
  3. 3Qwen3.5-35B-A3B-quantized.w8a8Oct 6, 2026406
  4. 4Laguna-S-2.1-NVFP4Oct 6, 2026316
  5. 5Laguna-S-2.1-FP8Oct 6, 2026193
  6. 6Qwen3.8-Flash-Next-NVFP4Oct 5, 20261,503
  7. 7wolf-defender-prompt-injectionOct 5, 202687
  8. 8DeepSeek-V4-Flash-0731-NVFP4Oct 2, 2026625
  9. 9granite-3.2-2b-instructOct 1, 2026309
  10. 10Qwen3.8-27B-NVFP4Sep 30, 202634.5K

All models

All tracked models published by RedHatAI
ModelDL 30D7D
DeepSeek-Coder-V2-Instruct-FP8redhatai/deepseek-coder-v2-instruct-fp83,482+283
DeepSeek-R1-Distill-Qwen-32B-FP8-dynamicredhatai/deepseek-r1-distill-qwen-32b-fp8-dynamic3,453+600
Qwen3-30B-A3B-NVFP4redhatai/qwen3-30b-a3b-nvfp43,421+782
GLM-5.3-NVFP4redhatai/glm-5.3-nvfp43,385—
gemma-3-4b-it-quantized.w4a16redhatai/gemma-3-4b-it-quantized.w4a163,336+1,312
gpt-oss-20bredhatai/gpt-oss-20b3,300+618
Ministral-3-14B-Instruct-2512redhatai/ministral-3-14b-instruct-25123,065+2,399
gemma-4-12B-itredhatai/gemma-4-12b-it2,930+404
embeddinggemma-300mredhatai/embeddinggemma-300m2,907+716
Qwen3-30B-A3B-FP8-blockredhatai/qwen3-30b-a3b-fp8-block2,814+463
Voxtral-Mini-3B-2507-FP8-dynamicredhatai/voxtral-mini-3b-2507-fp8-dynamic2,797+244
Mistral-Small-3.2-24B-Instruct-2506-NVFP4redhatai/mistral-small-3.2-24b-instruct-2506-nvfp42,764+661
Llama-4-Scout-17B-16E-Instruct-FP8-dynamicredhatai/llama-4-scout-17b-16e-instruct-fp8-dynamic2,747+478
Qwen3.5-4B-quantized.w8a8redhatai/qwen3.5-4b-quantized.w8a82,694+418
Kimi-K3-FP8-BLOCKredhatai/kimi-k3-fp8-block2,664+86
Meta-Llama-3-8B-Instruct-FP8-KVredhatai/meta-llama-3-8b-instruct-fp8-kv2,654+833
gpt-oss-120b-speculator.eagle3redhatai/gpt-oss-120b-speculator.eagle32,581+94
Kimi-K3-speculator.dsparkredhatai/kimi-k3-speculator.dspark2,558+733
gpt-oss-20b-speculator.eagle3redhatai/gpt-oss-20b-speculator.eagle32,459+703
Qwen2.5-0.5B-quantized.w8a16redhatai/qwen2.5-0.5b-quantized.w8a162,429—
Mistral-Small-3.1-24B-Instruct-2503-quantized.w4a16redhatai/mistral-small-3.1-24b-instruct-2503-quantized.w4a162,416+371
Qwen3.6-35B-A3Bredhatai/qwen3.6-35b-a3b2,390+345
Mistral-Small-24B-Instruct-2501-quantized.w4a16redhatai/mistral-small-24b-instruct-2501-quantized.w4a162,371+93
Qwen3.8-27B-speculator.dsparkredhatai/qwen3.8-27b-speculator.dspark2,353—
gemma-4-E2B-itredhatai/gemma-4-e2b-it2,308+422