ETLCH-instruct_based_on_llama3.2-1b_taiwan_traditional_chinese-GGUF
mradermacher/ETLCH-instruct_based_on_llama3.2-1b_taiwan_traditional_chinese-GGUF
transformersLicense: afl-3.0
Tracked by OpenModelStats since September 10, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 286
- Total downloadsCumulative all-time download counter reported by the source platform.
- 2,761
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +108(increase)
- 4.2%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads.
- #52,291
- 314(down 314 places)this week
- Parameters
- —
- Last source update
- Sep 25, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 41.1
- ETLCH-instruct_based_on_llama3.2-1b_taiwan_traditional_chinese-GGUF gained 108 downloads during the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
ETLCH-instruct_based_on_llama3.2-1b_taiwan_traditional_chinese-GGUF is an AI model published by mradermacher. OpenModelStats has tracked the model since Sep 10, 2026, most recently observing it Oct 9, 2026.
- Published
- Sep 25, 2025
- Last updated
- Sep 25, 2025
- Library
- transformers
- License
- afl-3.0
- Task
- —
- Parameters
- —
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 15
transformersgguftaiwanlocal_knowledgechinesetraditional_chinesellama3.2-1b-instructfor_fine-tuning_by_anyoneetl1B-efficientdeployable-on-single-GPUtext-parsing
Publisher
mradermacherView publisher statistics →Derived from yrc696/ETLCH-instruct_based_on_llama3.2-1b_taiwan_traditional_chinese (reported by the source; parent not yet tracked).
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