Index-Translate-35B-A3B-preview is the 35B-total / 3B-active mixture-of-experts multilingual text model of the Index-Translate family, built on Qwen3.5. It supports text translation across 150 languages and follows translation instructions involving terminology, formatting, style, structure, context, and output length. Preview: all 35B-A3B results below refer to the preview model evaluated in the technical report. - Has the highest FLORES COMET-22 (0.8794) and instTrans IFscore (0.8336) among all comparison systems in the report. - Scores 0.6901 instTrans quality, 76.76 WMT26 Judge, and 0.7405 MEME. - Among the three Index-Translate models, has the highest low-resource FLORES COMET-22 /…
Open weights
apache-2.0
262,144 tokens
Official GGUF conversion of IndexTeam/Index-Nailong-9B, part of the Index-Translate multilingual translation model family (150 languages, terminology/format-constrained translation, controlled dubbing translation, long-document translation). Converted with llama.cpp (master, 2026-10); static post-training quantization, all bit-widths in this single repository. (sorted by size) Translation prompt format (greedy decoding, temperature=0 recommended; use the chat template with enablethinking: false): Beyond plain translation, the models follow the instTrans constrained-translation format. The official client wraps requests into the canonical structure 【源文】 + numbered 1. 【硬性要求】 + 2. 【注意】 +…
Open weights
apache-2.0
llama.cpp
Official GGUF conversion of the text LLM backbone (stlmllm/) of IndexTeam/Index-Echo-S2ST-9B, part of the Index-Echo speech-to-speech translation (S2ST) model family by bilibili. Converted with llama.cpp (master, 2026-10); static post-training quantization, all bit-widths in this single repository. (sorted by size) Before release, each quantization tier was validated on GPU (NVIDIA A100) against the F16 conversion: per-token KL divergence / RMS delta-p via llama-perplexity, plus greedy-generation spot checks against the original BF16 weights (transformers reference). Generation outputs of Q4KM matched the reference almost verbatim. Converted and published by the Index team, 2026-10-03.
Open weights
apache-2.0
llama.cpp
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)…
Open weights
apache-2.0
transformers
Official FP8 (W8A8) quantization of IndexTeam/Index-Echo-S2ST-2B, 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)…
Open weights
apache-2.0
transformers
Official GGUF conversion of the text LLM backbone (llm/) of IndexTeam/Index-Echo-S2TT-9B, part of the Index-Echo speech-to-text translation (S2TT) model family by bilibili. Converted with llama.cpp (master, 2026-10); static post-training quantization, all bit-widths in this single repository. (sorted by size) Before release, each quantization tier was validated on GPU (NVIDIA A100) against the F16 conversion: per-token KL divergence / RMS delta-p via llama-perplexity, plus greedy-generation spot checks against the original BF16 weights (transformers reference). Generation outputs of Q4KM matched the reference almost verbatim. Converted and published by the Index team, 2026-10-03.
Open weights
apache-2.0
llama.cpp
