CoolFace
Apppublic

rob-x-ai/genesis-1b-run2-playground

sourceHugging Faceupdated 28d agoView on Hugging Face
1likes
App README

Genesis 1B

Base completion · Run 2

Genesis 1B is a 1B-parameter language model trained from scratch by Kroonen AI. This Space exposes raw Run 2 pre-training checkpoints so you can inspect how direct language completion changes across training snapshots.

Base model behavior: Genesis 1B continues text. It is not instruction tuned and is not intended to act as a chat assistant. Start a passage, function, article, or scene instead of giving it conversational instructions.

System status

ModeBase text completion
Training seriesRun 2
Checkpoint sourcerob-x-ai/genesis-1b-v3-checkpoints
Checkpoint orderNewest discovered step first
Precisionbfloat16
Inference runtimeHugging Face ZeroGPU, default large allocation: half of an NVIDIA RTX PRO 6000 Blackwell with 48 GB VRAM, dynamically allocated per request.

The Space discovers Run 2 step directories from the checkpoint repository, preloads the latest available snapshot at startup, refreshes the index when the page loads, and checks again before each generation. The status field beneath the output records the exact checkpoint used.

Explore the checkpoints

  • —Compare early and later checkpoints from the dropdown.
  • —Test prose, code, multilingual prompts, factual-style completions, and story starts.
  • —Adjust temperature, Top-K, Top-P, and repetition penalty to explore sampling behavior.
  • —Use Refresh checkpoints to discover a newly published Run 2 step.

Architecture

SpecificationValue
ParametersApproximately 1B
ArchitectureLlama-style decoder-only transformer
Layers32
Hidden / FFN dimension1,536 / 4,736 with SwiGLU
Attention12 query heads, 6 KV heads with grouped-query attention
Context2,048 tokens
TokenizerCustom SentencePiece BPE, 49,152-token vocabulary
Position encodingRotary embeddings, theta 500,000
Training corpus60B-token multilingual corpus
Run 2 training hardware2× NVIDIA RTX 4090 over PCIe, without NVLink

Runtime

Inference uses the default large Hugging Face ZeroGPU allocation: half of an NVIDIA RTX PRO 6000 Blackwell with 48 GB VRAM, dynamically allocated per request. The model checkpoint is prepared on CPU before GPU capacity is requested for generation.

Related