unsloth/Qwen3.8-27B-GGUF
27B โข Updated โข 10.5M โข 3.64k
๐ Vega 1.6 128M Chat
CNWPlayer
CNWPlayer
AI & ML interests
SLMs, LLMs, really anything that ends in LM.
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liked a model about 18 hours ago
unsloth/Qwen3.8-27B-GGUF updated a model about 20 hours ago
CNWPlayer/Vega-1.6-128M-Chat new activity 1 day ago
DedeProGames/Kiyo-135M:shouldn't be a finetuneOrganizations
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liked a
model about 18 hours ago
updated a
model about 20 hours ago
shouldn't be a finetune
#2 opened 1 day ago
by CNWPlayer
updated a
model 2 days ago
published a
model 2 days ago
Generate an SVG image of a cycling pelican in the current directory
3
#5 opened 5 days ago
by 
maryann088
More benchmarks?
๐ 1
1
#1 opened 6 days ago
by 
Datdanboi25
Add Vega-1.6-128M-Base
#31 opened 6 days ago
by CNWPlayer
replied to KlondikeDev's post 7 days ago
task Boris-1.7 BM-2-Medium ฮ HellaSwag 31.22 32.43 โ1.21 ARC-Easy 45.88 43.81 +2.07 ARC-Challenge 26.02 25.34 +0.68 PIQA 62.57 61.86 +0.71 4-task average 41.42 40.86 +0.56
Arithmark 3? and bananamind bench?
replied to KlondikeDev's post 8 days ago
will be interesting to see the effects of this
reacted to KlondikeDev's post with ๐ฅ 8 days ago
Post
3440
A Preview of Boris-2!
Hello! Tomorrow, OpenCerebral will be releasing Boris-1.7-D60M-n30M โ an experimental architecture. It will be testing a new data mixture, a new tokenizer, and testing Qwen4-like n-gram embeddings.
Following this will be Boris-1.8-D60M-n30M, which will test both the n-gram embeddings AND a new architecture.
Then, Boris-2 will begin training!
Edit: the model is OUT NOW! opencerebral/Boris-1.7-D60M-n30M
Hello! Tomorrow, OpenCerebral will be releasing Boris-1.7-D60M-n30M โ an experimental architecture. It will be testing a new data mixture, a new tokenizer, and testing Qwen4-like n-gram embeddings.
Following this will be Boris-1.8-D60M-n30M, which will test both the n-gram embeddings AND a new architecture.
Then, Boris-2 will begin training!
Edit: the model is OUT NOW! opencerebral/Boris-1.7-D60M-n30M
- 70 replies
liked a
Space 8 days ago
reacted to Banaxi-Tech's post with ๐ 8 days ago
Post
3505
We're delaying BananaMind 2.1!
When BananaMind 2.1 Lite was almost done, we benchmarked it and the results we're worse than BananaMind 2 Mini.
We're going to spend alot more time in research on tiny models and then scaling up our techniques to the actual BananaMind 2.1 models!
We're also announcing these new models:
BananaMind 2.1 Coder: A 149M instruction tuned coder model trained on 75B tokens + 10B tokens of stack-v3-train.
BananaMind 2.1 Pico: A 1M parameter model trained on 22B tokens of data.
We also may release BananaMind 2.1 Large with around 100M parameters depending on how much compute we have.
Please give us a follow!
BananaMind
@Banaxi-Tech
---
@vovaRL
@DedeProGames
When BananaMind 2.1 Lite was almost done, we benchmarked it and the results we're worse than BananaMind 2 Mini.
We're going to spend alot more time in research on tiny models and then scaling up our techniques to the actual BananaMind 2.1 models!
We're also announcing these new models:
BananaMind 2.1 Coder: A 149M instruction tuned coder model trained on 75B tokens + 10B tokens of stack-v3-train.
BananaMind 2.1 Pico: A 1M parameter model trained on 22B tokens of data.
We also may release BananaMind 2.1 Large with around 100M parameters depending on how much compute we have.
Please give us a follow!
@Banaxi-Tech
---
@vovaRL
@DedeProGames
- 7 replies
Update numbers
11
#29 opened 9 days ago
by CNWPlayer
Would be nice to have raw Elos available with some sort of switch
1
#28 opened 9 days ago
by CNWPlayer
updated 2
models 9 days ago
reacted to Bc-AI's post with ๐๐ฅ 9 days ago
Post
2014
Hello everyone! Happy to say that MiniCoder-1 is now in the instruction tuning phase. It is a 216M~ parameter model trained on 16B tokens. It ran on an RTX 6000 Pro Blackwell gpu for around 24~ hours. Now we will do SFT and launch as beta while we work on the final important DPO and RLHF phases. Our goal is a small extreemly fast on device coding assistant with CoT reasoning* baked in! - Bc-AI on behalf of the Smilyai-Labs team
*it is a small model so the reasoning quality wont be as good obviously!
*it is a small model so the reasoning quality wont be as good obviously!
- 2 replies
published a
model 9 days ago