OpenModel-Labs/Galaxy-1-Looped-Checkpoints
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Bc-AI
updated a
model about 13 hours ago
Bc-AI
published a
model 1 day ago
Banaxi-Tech
posted an update 1 day ago
Post
2,361
we're releasing Klein TTS X1.5 at 
klein-ml
it has a flash lite at 0.4m, flash at 1,7m and pro at 13m. they score near 82m models at very low sizes.
there supposed to be able to be bundled with any app without adding bloat.
we're going to release x1.6 soon a preview of our x2 architecture.
klein-ml/Klein-TTS-X1.5-Flash-Lite
klein-ml/Klein-TTS-X1.5-Flash
klein-ml/Klein-TTS-X1.5-Pro
it has a flash lite at 0.4m, flash at 1,7m and pro at 13m. they score near 82m models at very low sizes.
there supposed to be able to be bundled with any app without adding bloat.
we're going to release x1.6 soon a preview of our x2 architecture.
klein-ml/Klein-TTS-X1.5-Flash-Lite
klein-ml/Klein-TTS-X1.5-Flash
klein-ml/Klein-TTS-X1.5-Pro
- 1 reply
Banaxi-Tech
posted an update 4 days ago
Post
110
SupraTTS is going to be cooked lol
Klein TTS X1.5 is releasing in under a WEEK
(supratts scoring 743 on tts index: 😭)
we are just doing our post training now before releasing and are so excited with the results x2 will be insane!
Klein TTS X1.5 is releasing in under a WEEK
(supratts scoring 743 on tts index: 😭)
we are just doing our post training now before releasing and are so excited with the results x2 will be insane!
- 6 replies
Banaxi-Tech
posted an update 5 days ago
Post
98
Happy halloween everyone!
We've did some updates to Banaxi-Tech/TTS-Arena and now, everyone who uses the TTS Arena alot will get featured in our Klein TTS Release. Using it REALLY helps us alot so please use it.
Updates on the sizes: Klein TTS Flash Lite with 0.4M parameters, Klein TTS Flash with 1.7M parameters, Klein TTS Pro with 13M parameters and Ultra with 21M.
We've did some updates to Banaxi-Tech/TTS-Arena and now, everyone who uses the TTS Arena alot will get featured in our Klein TTS Release. Using it REALLY helps us alot so please use it.
Updates on the sizes: Klein TTS Flash Lite with 0.4M parameters, Klein TTS Flash with 1.7M parameters, Klein TTS Pro with 13M parameters and Ultra with 21M.
Banaxi-Tech
posted an update 7 days ago
Post
87
Hi everyone, we're releasing the TTS Arena.
You can test models and see rankings, its like the SLM Arena but for TTS.
Right now there are 2 stealth models on the arena, "cirxinx" and "tiger-alpha", try them out to preview a new model 🥷
We're also training Klein TTS X1.5 right now, they will release soon. We're also adding a 210K parameter size.
If your excited on them vote here: Banaxi-Tech/HuggingPolls
If you'r wondering what that is, its HuggingPolls, a space we released for Polls on huggingface.
Because huggingface doesent have any polls, we made it.
You can also make your own polls!
You can test models and see rankings, its like the SLM Arena but for TTS.
Right now there are 2 stealth models on the arena, "cirxinx" and "tiger-alpha", try them out to preview a new model 🥷
We're also training Klein TTS X1.5 right now, they will release soon. We're also adding a 210K parameter size.
If your excited on them vote here: Banaxi-Tech/HuggingPolls
If you'r wondering what that is, its HuggingPolls, a space we released for Polls on huggingface.
Because huggingface doesent have any polls, we made it.
You can also make your own polls!
- 1 reply
Post
3,939
I wish Hugging Face posts had polls...
- 6 replies
Banaxi-Tech
posted an update 8 days ago
Banaxi-Tech
posted an update 10 days ago
Post
5,604
BananaMind 3 is going to be an comeback. Sorry for the BGA things ( i genuinely didnt know about nsa existing and yes I used aiiii)
Were going to use our BananaMind 2.1 Unified architecture with some changes + NSA and some other stuff.
Were going to use our BananaMind 2.1 Unified architecture with some changes + NSA and some other stuff.
- 48 replies
Banaxi-Tech
posted an update 12 days ago
Post
4,895
BananaMind is in the google situation before argon right now, right?
- 29 replies
OpenModel-Researcher
updated a
Space 12 days ago
OpenModel-Researcher
published a
Space 12 days ago
Banaxi-Tech
posted an update 14 days ago
Post
201
So... im on vacation for 5 more days and I just realized... my hotel doesent have a grounding port 😟 so my pc shocked me 3 times.
So no progress for 5 days... only me and this phone
So no progress for 5 days... only me and this phone
- 2 replies
Banaxi-Tech
posted an update 16 days ago
Post
4,248
Hi everyone
We at
saicr have found a very interesting "thing" we call ADN via interpretabillity. It appears on EVERY prompt sent to the model. More on that later.
Also I made a X account follow it for more updates:
@banaxitech
And KleinML:
@kleinmlai
Here's my website for Klein ML: https://kleinml.com/?ref=huggingface.co
We at
Also I made a X account follow it for more updates:
@banaxitech
And KleinML:
@kleinmlai
Here's my website for Klein ML: https://kleinml.com/?ref=huggingface.co
- 4 replies
Banaxi-Tech
posted an update 18 days ago
Post
207
bci is the future.
and i dont like that
and i dont like that
- 4 replies
Banaxi-Tech
posted an update 19 days ago
Post
7,307
hi everyone
we at klein-ml are announcing KleinMem
These models will have Native memory, without any system-prompt or prompt, it still remembers exactly.
Get early access at https://tinyurl.com/klein-eap limited to 15 users.
Architecture details are coming soon toon.
If you know alot about architecture and want to help build it, join klein-ml .
we at
These models will have Native memory, without any system-prompt or prompt, it still remembers exactly.
Get early access at https://tinyurl.com/klein-eap limited to 15 users.
Architecture details are coming soon toon.
If you know alot about architecture and want to help build it, join
Banaxi-Tech
posted an update 21 days ago
Post
3,815
KV1 updates:
We at klein-ml have finished stage 1 of KV1 1.2B, we don't think we will need additional stages.
KV1 2.6B is near the midpoint of training, going well so far, its going to be our most agentic model yet.
We have released Klein Code Bench klein-ml/klein-code-bench, a benchmark testing whether models can build complete projects from scratch. It contains a easy, intermediate, hard and max subset.
Here are some benchmarks of the current KV1 1.2B
It retains 75.8% of FP16 intelligence.
We are also announcing that we at klein-ml are working on Klein 24B A2B which will be our first model featuring ternary weight quantization.
We at
KV1 2.6B is near the midpoint of training, going well so far, its going to be our most agentic model yet.
We have released Klein Code Bench klein-ml/klein-code-bench, a benchmark testing whether models can build complete projects from scratch. It contains a easy, intermediate, hard and max subset.
Here are some benchmarks of the current KV1 1.2B
It retains 75.8% of FP16 intelligence.
We are also announcing that we at
- 3 replies
Banaxi-Tech
posted an update 22 days ago
Post
2,276
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!
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!
- 43 replies