source languages: nl; target languages: en; OPUS readme: nl-en; dataset: opus; model: transformer-align; pre-processing: normalization + SentencePiece.
This is a LLaMA 3 Youko qlora fine-tune, created using a new version of the VNTL dataset. The purpose of this fine-tune is to improve performance of LLMs at translating Japanese visual novels to English.
Parameters—
Context—
Weights14.3 GB
Licensellama3
AccessOpen weights
Monthly Downloads54.3k
Model Card
This is a LLaMA 3 Youko qlora fine-tune, created using a new version of the VNTL dataset. The purpose of this fine-tune is to improve performance of LLMs at translating Japanese visual novels to English. Unlike the previous version, this one doesn't includes the "chat mode". For this new version of VNTL 8B, I've rebuilt and expanded VNTL's dataset from the groud up, and I'm happy to say it performs really well, outperforming the previous version when it comes to accuracy and stability, it makes far fewer mistakes than it even when running at high temperatures (though I still recommend temperature 0 for the best accuracy). Some major changes in this version: - Switched to the default LLaMA3…
Excerpt from the card by Anon, licensed llama3.
Identity and Version
- Repository
- lmg-anon/vntl-llama3-8b-v2-gguf
- Publisher
- Anon
- Task
- Translation
- Modality
- Text
- Library
- Not stated by the source
- Parameters
- Not stated by the source
- Languages
- ja, en
- Revision
- ab7c8285d386fab7cd89e951f62e129085df6372
- First published
- 2025-01-02
- Last updated
- 2025-01-02
Files and Weights
4 files, 14.3 GB in total. The weights are 2 files totalling 14.3 GB in gguf.
Weights2 files · 14.3 GB
Documentation1 file · 4.2 KB
Repository1 file · 1.7 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| vntl-llama3-8b-v2-hf-q5_k_m.gguf | Weights | 5.7 GB | 6392622ff441 |
| vntl-llama3-8b-v2-hf-q8_0.gguf | Weights | 8.5 GB | 1d8f5be785fb |
| README.md | Documentation | 4.2 KB | — |
| .gitattributes | Repository | 1.7 KB | — |
License and Download
- License
- llama3
- Access
- Open weights, no gate
- Download size
- 14.3 GB
Download from Anon
Released by Anon through its official repository on Hugging Face.
Built From
- Derived from rinna/llama-3-youko-8b
- Quantized from rinna/llama-3-youko-8b
- Trained on (disclosed) lmg-anon/VNTL-v5-1k
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 14.3 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About vntl-llama3-8b-v2-gguf
Can I use vntl-llama3-8b-v2-gguf commercially?
Yes, with conditions. vntl-llama3-8b-v2-gguf is released under Meta Llama 3 Community License. The Llama 3 Community License permits commercial use, except that a licensee whose products had more than 700 million monthly active users on the release date must request a license from Meta. It requires attribution as the license specifies and compliance with Meta's Acceptable Use Policy.
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source languages: en; target languages: ru; OPUS readme: en-ru; dataset: opus; model: transformer-align; pre-processing: normalization + SentencePiece.
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hfname: kor-eng - sourcelanguages: kor - targetlanguages: eng - opusreadmeurl: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-eng/README.md - originalrepo: Tatoeba-Challenge - srcconstituents: {'korHani', 'korHang', 'korLatn', 'kor'} - tgtconstituents: {'eng'} - srcmultilingual: False - tgtmultilingual: False - urlmodel: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.zip - urltestset: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.test.txt - srcalpha3: kor - tgtalpha3: eng - shortpair: ko-en - chrF2score: 0.588 - brevitypenalty: 0.9590000000000001 - reflen: 17711.0 - srcname: Korean - tgtname: English - traindate…
source languages: de; target languages: en; OPUS readme: de-en; dataset: opus; model: transformer-align; pre-processing: normalization + SentencePiece.