basically-experimental/Pebble-10M-Chat-GGUF
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ContextReq
updated a
model 33 minutes ago
ContextReq
updated a
model 34 minutes ago
ContextReq
updated 2
models 35 minutes ago
i64systems
posted an update about 7 hours ago
Post
23
NOW UPDATED ❗❗
openbob 5.0.1🐭🔎
An integer execution method for reproducible inference from publicly available model weights, demonstrated on Qwen3-4B. Journaled bytes and all.
Keep an eye out for the gpt-oss-120B on the 24gb GPU- deterministically.
We make AI models do the same things every time!⛓️😈
i64systems/Qwen3-4B-openbob-i8
openbob 5.0.1🐭🔎
An integer execution method for reproducible inference from publicly available model weights, demonstrated on Qwen3-4B. Journaled bytes and all.
Keep an eye out for the gpt-oss-120B on the 24gb GPU- deterministically.
We make AI models do the same things every time!⛓️😈
i64systems/Qwen3-4B-openbob-i8
Post
3390
Pebble-25M and Pebble-25M-Chat are out now!
We’re excited to release Pebble-25M and Pebble-25M-Chat!
Both models use our 3:1 Mamba2/Transformer hybrid architecture and were pretrained on 25B tokens. Pebble-25M-Chat was then further fine-tuned on an additional 250M tokens from smol-smoltalk, following the same approach used for the Pebble-10M models.
We hope you enjoy experimenting with them!
Pebble-50M is coming in a few days.
Models
Pebble-25M: basically-ai/Pebble-25M
Pebble-25M-Chat: basically-ai/Pebble-25M-Chat
Pebble-10M GGUFs
In case you missed it, our friend @ContextReq made GGUF versions of the Pebble-10M models:
https://huggingface.co/ContextReq/Pebble-10M-GGUF
https://huggingface.co/ContextReq/Pebble-10M-Chat-GGUF
Follow us if you don’t want to miss future releases and updates!
@Hoglet-33
basically-ai
basically-experimental
We’re excited to release Pebble-25M and Pebble-25M-Chat!
Both models use our 3:1 Mamba2/Transformer hybrid architecture and were pretrained on 25B tokens. Pebble-25M-Chat was then further fine-tuned on an additional 250M tokens from smol-smoltalk, following the same approach used for the Pebble-10M models.
We hope you enjoy experimenting with them!
Pebble-50M is coming in a few days.
Models
Pebble-25M: basically-ai/Pebble-25M
Pebble-25M-Chat: basically-ai/Pebble-25M-Chat
Pebble-10M GGUFs
In case you missed it, our friend @ContextReq made GGUF versions of the Pebble-10M models:
https://huggingface.co/ContextReq/Pebble-10M-GGUF
https://huggingface.co/ContextReq/Pebble-10M-Chat-GGUF
Follow us if you don’t want to miss future releases and updates!
@Hoglet-33
- 7 replies
i64systems
posted an update 3 days ago
Post
91
remat is no longer a one-model claim!!proved it on Qwen3-30B-A3B, K=32 of 128 experts resident, output task byte-identical to the full reference, zero bytes different *in bf16*🥰🥰 GPU comes next😈
- 6 replies
Post
3277
Pebble 10M and Pebble 10M Chat are now released!
Both models use our Mamba/Transformer 3:1 hybrid architecture and were pretrained on 25 billion tokens.
Pebble 10M Chat was additionally fine-tuned on 250 million tokens of Smol-SmolTalk to improve its conversational capabilities.
You can find them here:
- basically-ai/Pebble-10M
- basically-ai/Pebble-10M-Chat
We hope you enjoy using them. The rest of the Pebble family will be released soon.
Follow for more:
@Hoglet-33
basically-ai
Both models use our Mamba/Transformer 3:1 hybrid architecture and were pretrained on 25 billion tokens.
Pebble 10M Chat was additionally fine-tuned on 250 million tokens of Smol-SmolTalk to improve its conversational capabilities.
You can find them here:
- basically-ai/Pebble-10M
- basically-ai/Pebble-10M-Chat
We hope you enjoy using them. The rest of the Pebble family will be released soon.
Follow for more:
@Hoglet-33
- 32 replies
Post
3044
We are announcing the first generation of the Pebble model family!
These are the models we are releasing:
- Pebble 10M
- Pebble 25M
- Pebble 50M
Each model will use a Mamba-Transformer 3:1 hybrid architecture and will be pretrained on 25 billion tokens before IFT and SFT.
Depending on development time and resources, we may also release:
- Pebble 5M
- Pebble 75M
- Pebble 1M (possibly)
We hope you're excited and enjoy the models!
Follow for more:
@Hoglet-33
basically-ai
These are the models we are releasing:
- Pebble 10M
- Pebble 25M
- Pebble 50M
Each model will use a Mamba-Transformer 3:1 hybrid architecture and will be pretrained on 25 billion tokens before IFT and SFT.
Depending on development time and resources, we may also release:
- Pebble 5M
- Pebble 75M
- Pebble 1M (possibly)
We hope you're excited and enjoy the models!
Follow for more:
@Hoglet-33
- 7 replies