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fireredtts2-safetensors
endebert/fireredtts2-safetensors
fireredtts2-safetensors is a machine learning model from endebert. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
- Export date (UTC): 2025-12-03T15:33:21Z - Source repo: FireRedTeam/FireRedTTS2 @ 4af3f5cc4963373b86b52d750220d4de85261f05 - Files: - llmpretrain.safetensors: ~7.70 GB, 392 tensors metadata: llmpretrainmetadata.json…
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Updated Dec 3, 2025
Repo size
20.8 GB
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.safetensors20.8 GB · 100%
At a glance
- Access
- Public
- Created
- Dec 3, 2025
- Updated
- Dec 3, 2025
- SHA
- cdb2af2a
Model card
From the Hugging Face model README
FireRedTTS2 safetensors export
- Export date (UTC): 2025-12-03T15:33:21Z
- Source repo: FireRedTeam/FireRedTTS2 @ 4af3f5cc4963373b86b52d750220d4de85261f05
- Files:
- llm_pretrain.safetensors: ~7.70 GB, 392 tensors metadata: llm_pretrain_metadata.json
- llm_posttrain.safetensors: ~7.70 GB, 392 tensors metadata: llm_posttrain_metadata.json
- codec.safetensors: ~4.00 GB, 1202 tensors metadata: codec_metadata.json
Notes:
- Tensor names are identical to the original PyTorch state_dict keys.
- Configs
config_llm.jsonandconfig_codec.jsonare copied verbatim. - Qwen2.5 tokenizer assets are copied into
Qwen2.5-1.5B/for Rust-side tokenization.
Verification (optional): uv run python - <<'PY' from safetensors.torch import load_file sd = load_file('llm_pretrain.safetensors') print(len(sd), list(sd)[:5]) PY
- Created
- Dec 3, 2025
- Updated
- Dec 3, 2025