No official torrent yet — requesting it tells the flock what to host next. You cannot seed a catalog-only page.
Cataloged from SupraLabs/Supra2-100M-Base
All models by SupraLabs →Base model of new Supra2 family • 100M Parameters • 1K Context - extended to 2k
Supra2-100M Base is a 100M-parameter decoder-only language model pretrained from scratch by SupraLabs on 30B tokens of English web text. It uses the Qwen3 architecture with a custom 32,768-token tokenizer.
This is a base model. It has not been instruction-tuned, chat-tuned, or aligned in any way.
Prompt: "Artificial intelligence is " Completion:
All benchmarks were evaluated using the EleutherAI LM-Eval Harness.
Documents were tokenized with the custom supra2-tokenizer, concatenated into a flat uint16 token stream, and packed into contiguous 1,024-token chunks (no padding, no document masking — sequences may cross document boundaries).
The tokenizer ships with a ChatML template and reserved special tokens (<|im_start|>, <|im_end|>, <think>, <tool_call>, <|reserved_0..15|>, …). These exist so that downstream fine-tunes can adopt them without resizing embeddings — the base model has never seen them in training and will not behave sensibly if you apply the chat template.
Intended:
Not intended:
We are already training the next models in the Supra2-family:
© SupraLabs 2026
100% efficient, yet it still requires a lot of resources.We are in the midst of a major transition from the traditional computer and software to artificial intelligence.It is very important to have a strategy in mind. This is not only important for the companies that use it, but also for individuals and organizations that use it.There is a huge difference between the two approaches. The artificial intelligence approach is based on computers and the software.It has been proven that the artificial intelligence approach is more efficient and has a much better performance.The benefits of artificial intelligence are also known to be immense. It is a powerful tool that can improve productivity, increase efficiency, and reduce costs.It can be used for a wide range of tasks, from customer service to product development.It is also used for various other tasks, such as sales, marketing, and customer service.It is also used for various other tasks, such as customer service and product development.There are a number of different types of artificial intelligence. These include machine learning, natural language processing, and neural networks.The main advantage of using artificial intelligence is that it is more efficient and can be used for a wide range of tasks.It is also[...]import torchfrom transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "SupraLabs/Supra2-100M"
tokenizer = AutoTokenizer.from_pretrained(model_id)model = AutoModelForCausalLM.from_pretrained( model_id, torch_dtype=torch.bfloat16, device_map="auto",)model.eval()
prompt = "Artificial intelligence is "inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
with torch.no_grad(): out = model.generate( **inputs, max_new_tokens=256, do_sample=True, temperature=0.3, top_p=0.85, top_k=15, no_repeat_ngram_size=3, repetition_penalty=1.1, )
print(tokenizer.decode(out[0], skip_special_tokens=True))