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Open-weight model · Translation

Index-Nailong-9B-GGUF

by Index Team IndexTeam/Index-Nailong-9B-GGUF

Index-Nailong-9B-GGUF is an open-weight model for translation from Index Team, released under Apache License 2.0. Its published files total 81.4 GB.

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).

Parameters—
Context—
Weights81.4 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Index Team, published under apache-2.0, revision b77c686a6063.

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】 +…

Read Index Team's full model card

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.

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-Nailong-9B-GGUF:Q4_K_M
llama cli -hf IndexTeam/Index-Nailong-9B-GGUF:Q4_K_M

Translation prompt format (greedy decoding, temperature=0 recommended; use the chat template with enable_thinking: false):

请将以下文本翻译为{{target-language}},直接输出翻译结果,不要进行任何解释。

{{source-text}}
# llama.cpp: run the recommended Q4_K_M with the chat template and thinking disabled
llama-cli -hf IndexTeam/Index-Nailong-9B-GGUF:Q4_K_M --jinja --chat-template-kwargs '{"enable_thinking":false}' --temp 0

Prompting & constrained translation (instTrans)

Beyond plain translation, the models follow the instTrans constrained-translation format. The official client wraps requests into the canonical structure 【源文】<text> + numbered 1. 【硬性要求】<hard constraints> + 2. 【注意】<soft constraints> + suffix instructions:

  • Hard constraints (binary, must hold): strict terminology glossary enforcement (e.g. 碳纤维:carbon fiber, 抗裂缝:crack resistance), and format/structure preservation for JSON/CSV/code/placeholders.
  • Soft constraints (graded): tone & style adaptation (e.g. formal business-email register), domain/word-sense disambiguation (e.g. plant -> 工厂 in an industrial context), cross-sentence consistency, LaTeX preservation.
  • Syllable-controlled translation (dubbing): the Index-Homura checkpoints (IndexTeam/Index-Homura-2B, IndexTeam/Index-Homura-9B) strictly respect a target syllable budget and can be combined with glossaries.

Full prompt reference: github.com/bilibili/Index-Translate (Instruction Following section, docs/prompts.md, inference/llm/cases/).

See the base model card for the full instTrans constrained-translation format and serving presets.

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.

Identity and Version

Repository
IndexTeam/Index-Nailong-9B-GGUF
Publisher
Index Team
Task
Translation
Modality
Text
Library
llama.cpp
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
b77c686a6063b7fd89ac781a4f349baa8d9c940a
First published
2026-10-02
Last updated
2026-10-03

Files and Weights

15 files, 81.4 GB in total. The weights are 12 files totalling 81.4 GB in gguf.

Weights12 files · 81.4 GB
Documentation1 file · 5.2 KB
Other1 file · 1.1 KB
Repository1 file · 2.3 KB
Every file
FileTypeSizeSHA-256
Index-Nailong-9B.IQ4_XS.ggufWeights5.2 GB af47a4d4bdce
Index-Nailong-9B.Q2_K.ggufWeights3.8 GB 5f4c901094c0
Index-Nailong-9B.Q3_K_L.ggufWeights4.9 GB 5d9d72da8224
Index-Nailong-9B.Q3_K_M.ggufWeights4.6 GB 2ee983c3693b
Index-Nailong-9B.Q3_K_S.ggufWeights4.3 GB 45c7102e4831
Index-Nailong-9B.Q4_K_M.ggufWeights5.6 GB fb5c7716147c
Index-Nailong-9B.Q4_K_S.ggufWeights5.4 GB b28524320525
Index-Nailong-9B.Q5_K_M.ggufWeights6.5 GB 30fd1bc9711c
Index-Nailong-9B.Q5_K_S.ggufWeights6.3 GB 99a858cbcae4
Index-Nailong-9B.Q6_K.ggufWeights7.4 GB 02ec1393bb42
Index-Nailong-9B.Q8_0.ggufWeights9.5 GB 1b810d43b08f
Index-Nailong-9B.f16.ggufWeights17.9 GB d5bf4ce5263b
README.mdDocumentation5.2 KB —
SHA256SUMS.txtOther1.1 KB —
.gitattributesRepository2.3 KB —

License and Download

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

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

Built From

  • Derived from IndexTeam/Index-Nailong-9B
  • Described by arXiv:2609.40181
  • Quantized from IndexTeam/Index-Nailong-9B

Memory Requirements

PrecisionWeights in memory
As published81.4 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About Index-Nailong-9B-GGUF

Can I use Index-Nailong-9B-GGUF commercially?

Yes. Index-Nailong-9B-GGUF 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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