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Open-weight model · Translation

Index-Echo-S2ST-9B-FP8

by Index Team IndexTeam/Index-Echo-S2ST-9B-FP8

Index-Echo-S2ST-9B-FP8 is an open-weight model for translation from Index Team, released under Apache License 2.0. Its published files total 527.3 KB.

Official FP8 (W8A8) quantization of IndexTeam/Index-Echo-S2ST-9B, part of the Index-Echo speech-to-speech translation (S2ST) model family by bilibili.

Parameters—
Context—
Weights527.3 KB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Index Team, published under apache-2.0, revision 735ccd0ce1c7.

Official FP8 (W8A8) quantization of IndexTeam/Index-Echo-S2ST-9B, part of the Index-Echo speech-to-speech translation (S2ST) model family by bilibili. This repository mirrors the original checkpoint layout; only the text LLM backbone (stlmllm/) is quantized to FP8 - the audio tower, connector, and all speech-synthesis components remain in BF16. Use it exactly like the original repo (same infer.py / configs). - All Linear layers of the language model backbone (stlmllm/) are quantized; the audio tower, connector, lmhead, embeddings and all other pipeline components are kept in BF16. Measured on an NVIDIA A100 against the original BF16 checkpoint (greedy decoding, official translation prompt)…

Read Index Team's full model card

Official FP8 (W8A8) quantization of IndexTeam/Index-Echo-S2ST-9B, part of the Index-Echo speech-to-speech translation (S2ST) model family by bilibili.

This repository mirrors the original checkpoint layout; only the text LLM backbone (stlm_llm/) is quantized to FP8 - the audio tower, connector, and all speech-synthesis components remain in BF16. Use it exactly like the original repo (same infer.py / configs).

Quantization

  • Scheme: FP8_DYNAMIC (FP8 E4M3 weights, per-token dynamic FP8 activations), produced with llm-compressor (quantization_scheme recorded in recipe.yaml).
  • All Linear layers of the language model backbone (stlm_llm/) are quantized; the audio tower, connector, lm_head, embeddings and all other pipeline components are kept in BF16.
  • Format: compressed-tensors safetensors - load directly with vLLM (quantization="compressed-tensors") or transformers.

Consistency validation

Measured on an NVIDIA A100 against the original BF16 checkpoint (greedy decoding, official translation prompt):

Metric BF16 FP8 Delta
Perplexity (fixed corpus) 3.8218 3.8412 +0.51%
zh->en generation identical - - no (semantically equivalent)
en->zh generation identical - - no (semantically equivalent)

Usage

Identical to the original checkpoint - clone this repo and follow the README / infer.py of the base model (IndexTeam/Index-Echo-S2ST-9B). The quantized LLM backbone loads via compressed-tensors; make sure compressed-tensors (or vLLM / a recent transformers) is installed.

Quantized and published by the Index team, 2026-10-03.

Configuration

Model type
dubbing_bridge

Identity and Version

Repository
IndexTeam/Index-Echo-S2ST-9B-FP8
Publisher
Index Team
Task
Translation
Modality
Text
Library
transformers
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
735ccd0ce1c7c0bb85bdc6fb4839b1c251f12547
First published
2026-10-02
Last updated
2026-10-03

Files and Weights

256 files, 527.3 KB in total.

Configuration174 files · 366.0 KB
Tokenizer2 files · 2.4 KB
Documentation15 files · 34.8 KB
Other56 files · 117.7 KB
Repository9 files · 6.4 KB
Every file
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bridge/mapper_config.jsonConfiguration171 B —
code/bridge/text_norm.pyConfiguration4.0 KB —
code/cosyvoice_repo/.github/workflows/lint.ymlConfiguration2.3 KB —
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code/cosyvoice_repo/cosyvoice/__init__.pyConfiguration —
code/cosyvoice_repo/cosyvoice/bin/average_model.pyConfiguration3.2 KB —
code/cosyvoice_repo/cosyvoice/bin/export_jit.pyConfiguration3.8 KB —
code/cosyvoice_repo/cosyvoice/bin/export_onnx.pyConfiguration4.5 KB —
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code/cosyvoice_repo/cosyvoice/dataset/__init__.pyConfiguration —
code/cosyvoice_repo/cosyvoice/dataset/dataset.pyConfiguration5.1 KB —
code/cosyvoice_repo/cosyvoice/flow/DiT/dit.pyConfiguration5.7 KB —
code/cosyvoice_repo/cosyvoice/flow/length_regulator.pyConfiguration3.1 KB —
code/cosyvoice_repo/cosyvoice/hifigan/f0_predictor.pyConfiguration3.8 KB —
code/cosyvoice_repo/cosyvoice/hifigan/hifigan.pyConfiguration3.2 KB —
code/cosyvoice_repo/cosyvoice/transformer/__init__.pyConfiguration —
code/cosyvoice_repo/cosyvoice/transformer/activation.pyConfiguration3.1 KB —
code/cosyvoice_repo/cosyvoice/transformer/decoder_layer.pyConfiguration4.8 KB —
code/cosyvoice_repo/cosyvoice/transformer/label_smoothing_loss.pyConfiguration3.5 KB —
code/cosyvoice_repo/cosyvoice/transformer/positionwise_feed_forward.pyConfiguration4.2 KB —
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code/cosyvoice_repo/cosyvoice/utils/class_utils.pyConfiguration3.6 KB —
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code/cosyvoice_repo/cosyvoice/utils/onnx.pyConfiguration2.9 KB —
code/cosyvoice_repo/cosyvoice/vllm/cosyvoice2.pyConfiguration4.5 KB —
code/cosyvoice_repo/examples/grpo/cosyvoice2/huggingface_to_pretrained.pyConfiguration2.9 KB —
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code/cosyvoice_repo/examples/grpo/cosyvoice2/pretrained_to_huggingface.pyConfiguration5.5 KB —
code/cosyvoice_repo/examples/libritts/cosyvoice/conf/ds_stage2.jsonConfiguration925 B —
code/cosyvoice_repo/examples/libritts/cosyvoice/local/prepare_data.pyConfiguration1.9 KB —
code/cosyvoice_repo/examples/libritts/cosyvoice/local/prepare_reject_sample.pyConfiguration1.8 KB —
code/cosyvoice_repo/examples/libritts/cosyvoice/tts_text.jsonConfiguration89 B —
code/cosyvoice_repo/examples/libritts/cosyvoice2/conf/ds_stage2.jsonConfiguration925 B —
code/cosyvoice_repo/examples/libritts/cosyvoice2/tts_text.jsonConfiguration89 B —
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License and Download

License
apache-2.0
Access
Open weights, no gate
Download from Index Team

Released by Index Team through its official repository on Hugging Face. Read the license.

Built From

  • Derived from IndexTeam/Index-Echo-S2ST-9B

Questions About Index-Echo-S2ST-9B-FP8

Can I use Index-Echo-S2ST-9B-FP8 commercially?

Yes. Index-Echo-S2ST-9B-FP8 is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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