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New activity in prism-ml/Ternary-Bonsai-2-27B-gguf 9 days ago

I took Bonsai 2 27B apart, part 2: the format is public, the last 8% is ordinary ternary QAT.

👀 1

6

#62 opened 10 days ago by

SkyIsNotGreen

New activity in prism-ml/Ternary-Bonsai-2-27B-gguf 10 days ago

for 16gb vram context size <=114688 is fast. Pelican is gorgeous :)

👍🤯 4

8

#56 opened 11 days ago by

KottCh

New activity in prism-ml/Ternary-Bonsai-2-27B-gguf 11 days ago

When will they release the official version with ROCM or Vulkan support for the 6900XT?

1

#53 opened 12 days ago by

aidoluiz

Real KLD testing against Unsloth's gguf BF16 of Qwen 3.8-27B

👀👍 3

3

#54 opened 11 days ago by

mrumel

I took Bonsai 2 27B apart: the format is public, the last 8% is trained

👀❤️ 7

10

#44 opened 14 days ago by

SkyIsNotGreen

PLEASE stop lying about the "intelligence" of the model.

🔥👍 24

7

#47 opened 13 days ago by

Splarkszter

New activity in prism-ml/Ternary-Bonsai-2-27B-gguf 13 days ago

How does the 2080 Ti 22G perform with this model?

2

#49 opened 13 days ago by

coresen

New activity in prism-ml/Ternary-Bonsai-2-27B-gguf 14 days ago

3060 rtx 8 gb vram here ... share your preset !

4

#41 opened 14 days ago by

oytaub

在4060笔记本，8G下，优化到45Token/S，已经达到大厂的Token接口速度，彻底实现Token自由，大家再也不需要去大厂订阅。

6

#39 opened 14 days ago by

SuperLogic

Ternary-Bonsai-2-27B on an RTX 2060 SUPER 8GB — Japanese supplied-context reasoning is the biggest surprise

1

#38 opened 14 days ago by

mktnhr

Ternary-Bonsai-2-27B on an RTX 2060 SUPER 8GB — Japanese supplied-context reasoning is the biggest surprise

1

#38 opened 14 days ago by

mktnhr