IndexTeam/Index-Echo-S2TT-9B-GGUF

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Index-Echo-S2TT-9B-GGUF

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.

Note: LLM backbone only. The audio tower, connector and speech-synthesis stack are not included - llama.cpp cannot run the full speech pipeline. For full speech-to-text translation (S2TT) inference, use the original checkpoint or the FP8 build in Index-Echo-S2TT-9B-FP8, which ships the complete pipeline with an FP8-quantized LLM.

Converted with llama.cpp (master, 2026-10); static post-training quantization, all bit-widths in this single repository.

Provided files

(sorted by size)

File Size Notes
Q2_K 3.83 GB 2-bit, significant quality loss
Q3_K_S 4.26 GB 3-bit, noticeable quality loss
Q3_K_M 4.62 GB 3-bit, noticeable quality loss
Q3_K_L 4.93 GB 3-bit, noticeable quality loss
IQ4_XS 5.23 GB 4-bit I-quant, small
Q4_K_S 5.35 GB 4-bit, slightly smaller/faster
Q4_K_M 5.63 GB 4-bit, good balance, recommended
Q5_K_S 6.31 GB 5-bit, low quality loss
Q5_K_M 6.47 GB 5-bit, low quality loss
Q6_K 7.36 GB 6-bit, very low quality loss
Q8_0 9.53 GB 8-bit, near-lossless
f16 17.92 GB 16-bit, lossless conversion baseline

Usage

# Run the recommended Q4_K_M directly:
llama serve -hf IndexTeam/Index-Echo-S2TT-9B-GGUF:Q4_K_M
llama cli -hf IndexTeam/Index-Echo-S2TT-9B-GGUF:Q4_K_M

Consistency validation

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 Q4_K_M matched the reference almost verbatim.

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