DeepSeek-V4-Flash-MTP-GGUF
rogerai-fyi/DeepSeek-V4-Flash-MTP-GGUF
Tracked by OpenModelStats since September 5, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 288
- Total downloadsCumulative all-time download counter reported by the source platform.
- 3,850
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +64(increase)
- 1.7%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 4
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #15028 among tracked Text Generation models.
- #49,008
- 206(down 206 places)this week
- Parameters
- —
- Last source update
- Aug 13, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 33.6
- DeepSeek-V4-Flash-MTP-GGUF gained 64 downloads during the last seven tracked days.
- It moved from #14923 to #15028 among tracked Text Generation models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
DeepSeek-V4-Flash-MTP-GGUF is a text generation model published by rogerai-fyi. OpenModelStats has tracked the model since Sep 5, 2026, most recently observing it Oct 4, 2026.
- Published
- Jul 13, 2026
- Last updated
- Aug 13, 2026
- Library
- llama.cpp
- License
- mit
- Task
- Text Generation
- Parameters
- —
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 9
llama.cppggufdeepseekdeepseek-v4mtpspeculative-decodingmixture-of-expertstext-generationbase_model:deepseek-ai/DeepSeek-V4-Flashbase_model:quantized:deepseek-ai/DeepSeek-V4-Flashlicense:mitendpoints_compatible
Model family
Based on base-model relationships reported by the source's metadata.
Base model
Sibling models
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