Index-Echo-S2ST-2B-FP8-v41
Official FP8 (W8A8) quantization of IndexTeam/Index-Echo-S2ST-2B (v4.1), part of the Index-Echo speech-to-speech translation (S2ST) model family by bilibili.
The v4.1 package updates the multilingual translator and extends the release to twelve directions: Chinese, Japanese, or English speech input, dubbed into English, Spanish, Japanese, Korean, or Chinese.
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 modeling_dubbing.py / configs).
Quantization
- Scheme:
FP8_DYNAMIC(FP8 E4M3 weights, per-token dynamic FP8 activations), produced with llm-compressor (quantization_schemerecorded inrecipe.yaml). - All
Linearlayers 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 against the original BF16 checkpoint (greedy decoding, CPU reference execution):
| Metric | BF16 | FP8 | Delta |
|---|---|---|---|
| Perplexity (fixed corpus) | 10.1579 | 10.3374 | +1.77% |
| zh->en generation identical | - | - | yes |
| en->zh generation identical | - | - | yes |
Usage
Identical to the original checkpoint - clone this repo and follow the README / modeling_dubbing.py of the base model (IndexTeam/Index-Echo-S2ST-2B). 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, 2026-10-13.