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Building on HF
126.7
TFLOPS
Boning Cui
Bc-AI
204
18
84
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jhunxyryx's profile picture
textilelabs's profile picture
Quazim0t0's profile picture
77 followers
·
98 following
AI & ML interests
He/Him. I like LLM's and VLM's. I work with my other friends to make stuff. We are in year 7 and we are enthusiastic about AI. We are based in Australia 🇦🇺 (QLD Btw)
Recent Activity
liked
a Space
about 4 hours ago
Banaxi-Tech/KV1-Demo
replied
to
Banaxi-Tech
's
post
about 13 hours ago
We're announcing KV1. Now. We're going to take some models, do a bit of continued training on them and QAT them for only a 2 bit KV cache. And because of what happened with BGA, and this is also kind of some research stuff, here's what we're going to change: We're going to always, before we release how and make any claims, release our results. We also would like (idk if we can) to have some external reviewers before releasing them, I'M talking to YOU @AtAndDev and @mithulaartigala And we're going to properly cite other research. The models we are going to release is: KV1 1.2B, based on LFM 2.5 1.2B Instruct KV1 2.6B, based on LFM 2.5 2.6B Instruct KV1 4B, based on Qwen3.5 4B. If we get enough compute, we may also train: KV1 9B And if you guys want to a ~27B model, you guys decide which, either on LFM 2.5 24B A2B, Qwen3.8 27B, or Qwen3.6 35B A3B. Our goal is to get 2 bit, at 4 bit quality. Here's an image of our current progress, KV1 is at 3 bit, not 4 bit, but it will improve!
replied
to
Banaxi-Tech
's
post
about 13 hours ago
We're announcing KV1. Now. We're going to take some models, do a bit of continued training on them and QAT them for only a 2 bit KV cache. And because of what happened with BGA, and this is also kind of some research stuff, here's what we're going to change: We're going to always, before we release how and make any claims, release our results. We also would like (idk if we can) to have some external reviewers before releasing them, I'M talking to YOU @AtAndDev and @mithulaartigala And we're going to properly cite other research. The models we are going to release is: KV1 1.2B, based on LFM 2.5 1.2B Instruct KV1 2.6B, based on LFM 2.5 2.6B Instruct KV1 4B, based on Qwen3.5 4B. If we get enough compute, we may also train: KV1 9B And if you guys want to a ~27B model, you guys decide which, either on LFM 2.5 24B A2B, Qwen3.8 27B, or Qwen3.6 35B A3B. Our goal is to get 2 bit, at 4 bit quality. Here's an image of our current progress, KV1 is at 3 bit, not 4 bit, but it will improve!
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Organizations
Bc-AI
's models
15
Sort: Recently updated
Bc-AI/logs
Updated
10 days ago
Bc-AI/T1-Mini-Preview-Q2_K-GGUF
Image-Text-to-Text
•
4B
•
Updated
24 days ago
•
158
Bc-AI/T1-Mini-Preview
Image-Text-to-Text
•
4B
•
Updated
25 days ago
•
58
•
1
Bc-AI/Code-thing
Updated
26 days ago
Bc-AI/joint-flow-3b
Updated
28 days ago
•
1
Bc-AI/CodVa-1-session-001
Updated
Aug 22
Bc-AI/nova-1-standard-checkpoints
Updated
Aug 11
Bc-AI/vacinova-1-checkpoints
Updated
Aug 8
Bc-AI/nova-1-large-checkpoints
Updated
Aug 2
Bc-AI/nova-1-phase2-checkpoints
Updated
Aug 2
Bc-AI/suprava-1
Updated
Jul 31
Bc-AI/codva-10b
Updated
Jul 31
•
1
Bc-AI/codva-exp-7b
Updated
Jul 28
Bc-AI/nova-chat-ui
Updated
Jul 1
Bc-AI/sam-x-chat-instruct
Updated
Oct 19, 2025
•
1