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ubicloud/Kimi-K2.5-BF16-Pruned-20B
Kimi-K2.5-BF16-Pruned-20B is a machine learning model from ubicloud. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a pruned variant of ananayarora/Kimi-K2.5-BF16 that retains the first 2 layer(s) of the original 61 layer(s) architecture. It is intended for pipeline testing and performance research rather than product…
Downloads · 30 days
22
6% of all-time downloads
All-time downloads
367
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Parameters
20.4B
40.8 GB on disk
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.safetensors40.8 GB · 100%
How the weights are stored.
BF1620.4B · 100%
From the Hugging Face model README
This model is a pruned variant of ananayarora/Kimi-K2.5-BF16 that retains the first 2 layer(s) of the original 61 layer(s) architecture. It is intended for pipeline testing and performance research rather than production use.
Made with ❤️ by Model Pruner
BF16 (bfloat16) conversion of Moonshot AI's Kimi K2.5.
Converted from the official native INT4 weights so that LlamaFactory + KTransformers can run LoRA SFT directly without a per-run conversion step.
| Spec | Value |
|---|---|
| Source | moonshotai/Kimi-K2.5 |
| Format | safetensors (BF16) |
| Shards | 64 |
| Total size | ~1913 GB |
| Architecture | MoE — 1T total, 32B active |
| Context | 256K tokens |
model_name_or_path: ananayarora/Kimi-K2.5-BF16
stage: sft
finetuning_type: lora
bf16: true
use_kt: true
Same as the base model: Modified MIT.