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Model: mpasila/shisa-v2-JP-EN-Translator-v0.1-12B
Source: Original Platform

README.md

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+---
+base_model: shisa-ai/shisa-v2-mistral-nemo-12b
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- mistral
+- trl
+- sft
+license: apache-2.0
+language:
+- en
+datasets:
+- NilanE/ParallelFiction-Ja_En-100k
+- mpasila/ja_en_massive_1000_sharegpt_filtered_fixed_short
+---
+
+This only contains around 191 examples. This is just quick test will release the full around 1k examples soon.
+
+I've done a quick cleaning of the data manually using Notepad++. There may still be broken stuff or other problems.
+
+Uses ChatML, recommended system prompt: `You are an AI assistant that translates Japanese to English accurately.`
+
+Uses [NilanE/ParallelFiction-Ja_En-100k](https://huggingface.co/datasets/NilanE/ParallelFiction-Ja_En-100k) for the data.
+
+LoRA: [mpasila/shisa-v2-JP-EN-Translator-v0.1-LoRA-12B](https://huggingface.co/mpasila/shisa-v2-JP-EN-Translator-v0.1-LoRA-12B)
+
+Uses the usual 128 rank and 32 alpha. Trained on 16384 context window in QLoRA.
+
+**Token Count Statistics:**
+- Total conversations: 191
+- Total tokens: 918486
+- Average tokens per conversation: 4808.83
+- Median tokens per conversation: 4187.0
+- Maximum tokens in a conversation: 13431
+- Minimum tokens in a conversation: 512
+
+**Token Distribution by Role:**
+- System messages: 2483 tokens (0.27%)
+- Human messages: 494038 tokens (53.79%)
+- Assistant messages: 421965 tokens (45.94%)
+
+**Token Count Distribution:**
+- 0-512: 0 conversations (0.00%)
+- 513-1024: 4 conversations (2.09%)
+- 1025-2048: 10 conversations (5.24%)
+- 2049-4096: 77 conversations (40.31%)
+- 4097-8192: 83 conversations (43.46%)
+- 8193-16384: 17 conversations (8.90%)
+- 16385+: 0 conversations (0.00%)
+
+# Uploaded shisa-v2-JP-EN-Translator-v0.1-12B model
+
+- **Developed by:** mpasila
+- **License:** apache-2.0
+- **Finetuned from model :** shisa-ai/shisa-v2-mistral-nemo-12b
+
+This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)