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Open Source Model Profile · senseable

Trillama-8B

Trillama-8B is an 8.03B-parameter Llama text-generation model from senseable with documented Transformers pipeline usage.

Publisher
senseable
Task
text-generation
Model type
llama
License
llama2
Library
transformers
Publication status
Accepted · not indexed

Model overview

Trillama-8B is published by senseable as a Llama-family text-generation model. The captured configuration identifies LlamaForCausalLM and Safetensors metadata reports 8,030,261,248 parameters. According to the model card, it is a fine-tune building on Llama-3-8B with emphasis on logic and reasoning.

Recorded capabilities

8.03B Llama record

Captured configuration records LlamaForCausalLM and Safetensors metadata reports 8,030,261,248 parameters.

Publisher-claimed Llama-3-8B lineage

According to the model card, the release builds on Llama-3-8B from Meta with attention to logic and reasoning.

Documented pipeline example

According to the model card, a Transformers text-generation pipeline with bfloat16 and automatic device mapping is shown.

Llama2 license record

Card data records llama2.

Use cases in the source record

  • Conversational text-generation workflows using the model card's documented bfloat16 Transformers pipeline.
  • Reasoning-oriented experimentation framed by the publisher's logic-and-reasoning fine-tune description, treated as an unverified publisher claim.

Limitations and unknowns

  • No training detail, context-window value, or evaluation results were extracted from this record.
  • Base-model lineage comes only from the publisher model card and was not independently verified.
  • Provider state is historical snapshot data, not independently refreshed current availability.

Source and provenance

Source: senseable/Trillama-8B

Captured: Unknown. Processed: 2026-09-07T19:34:57.619938+00:00.

Trillama-8B is a 8B LLM that builds upon the foundation of Llama-3-8B, the lastest model from Meta. It's a fine-tune focused on improving the model's already strong logic and reasoning. import transformers import torch model_id = "senseable/Trillama-8B" pipeline = transformers.pipeline( "text-generation", model=model_id, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto" ) pipeline("Explain the meaning of life.")

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