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--- |
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language: |
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- en |
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license: llama3.2 |
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tags: |
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- enigma |
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- valiant |
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- valiant-labs |
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- llama |
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- llama-3.2 |
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- llama-3.2-instruct |
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- llama-3.2-instruct-3b |
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- llama-3 |
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- llama-3-instruct |
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- llama-3-instruct-3b |
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- 3b |
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- code |
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- code-instruct |
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- python |
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- conversational |
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- chat |
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- instruct |
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base_model: meta-llama/Llama-3.2-3B-Instruct |
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datasets: |
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- sequelbox/Tachibana |
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- sequelbox/Supernova |
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pipeline_tag: text-generation |
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model_type: llama |
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model-index: |
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- name: Llama3.2-3B-Enigma |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-Shot) |
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type: winogrande |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 67.96 |
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name: acc |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: ARC Challenge (25-Shot) |
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type: arc-challenge |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 47.18 |
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name: normalized accuracy |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: IFEval (0-Shot) |
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type: HuggingFaceH4/ifeval |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: inst_level_strict_acc and prompt_level_strict_acc |
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value: 47.75 |
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name: strict accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-Enigma |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: BBH (3-Shot) |
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type: BBH |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc_norm |
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value: 18.81 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-Enigma |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MATH Lvl 5 (4-Shot) |
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type: hendrycks/competition_math |
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args: |
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num_few_shot: 4 |
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metrics: |
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- type: exact_match |
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value: 6.65 |
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name: exact match |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-Enigma |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GPQA (0-shot) |
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type: Idavidrein/gpqa |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 1.45 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-Enigma |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MuSR (0-shot) |
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type: TAUR-Lab/MuSR |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 4.54 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-Enigma |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU-PRO (5-shot) |
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type: TIGER-Lab/MMLU-Pro |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 15.41 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-Enigma |
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name: Open LLM Leaderboard |
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--- |
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[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory) |
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# QuantFactory/Llama3.2-3B-Enigma-GGUF |
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This is quantized version of [ValiantLabs/Llama3.2-3B-Enigma](https://huggingface.co/ValiantLabs/Llama3.2-3B-Enigma) created using llama.cpp |
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# Original Model Card |
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64f267a8a4f79a118e0fcc89/it7MY5MyLCLpFQev5dUis.jpeg) |
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Enigma is a code-instruct model built on Llama 3.2 3b. |
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- High quality code instruct performance with the Llama 3.2 Instruct chat format |
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- Finetuned on synthetic code-instruct data generated with Llama 3.1 405b. [Find the current version of the dataset here!](https://huggingface.co/datasets/sequelbox/Tachibana) |
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- Overall chat performance supplemented with [generalist synthetic data.](https://huggingface.co/datasets/sequelbox/Supernova) |
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## Version |
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This is the **2024-09-30** release of Enigma for Llama 3.2 3b, enhancing code-instruct and general chat capabilities. |
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Enigma is also available for [Llama 3.1 8b!](https://huggingface.co/ValiantLabs/Llama3.1-8B-Enigma) |
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Help us and recommend Enigma to your friends! We're excited for more Enigma releases in the future. |
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## Prompting Guide |
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Enigma uses the [Llama 3.2 Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) prompt format. The example script below can be used as a starting point for general chat: |
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```python |
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import transformers |
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import torch |
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model_id = "ValiantLabs/Llama3.2-3B-Enigma" |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model_id, |
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model_kwargs={"torch_dtype": torch.bfloat16}, |
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device_map="auto", |
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) |
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messages = [ |
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{"role": "system", "content": "You are Enigma, a highly capable code assistant."}, |
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{"role": "user", "content": "Can you explain virtualization to me?"} |
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] |
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outputs = pipeline( |
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messages, |
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max_new_tokens=1024, |
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) |
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print(outputs[0]["generated_text"][-1]) |
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``` |
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## The Model |
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Enigma is built on top of Llama 3.2 3b Instruct, using high quality code-instruct data and general chat data in Llama 3.2 Instruct prompt style to supplement overall performance. |
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Our current version of Enigma is trained on code-instruct data from [sequelbox/Tachibana](https://huggingface.co/datasets/sequelbox/Tachibana) and general chat data from [sequelbox/Supernova.](https://huggingface.co/datasets/sequelbox/Supernova) |
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg) |
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Enigma is created by [Valiant Labs.](http://valiantlabs.ca/) |
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[Check out our HuggingFace page for Shining Valiant 2 and our other Build Tools models for creators!](https://huggingface.co/ValiantLabs) |
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[Follow us on X for updates on our models!](https://twitter.com/valiant_labs) |
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We care about open source. |
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For everyone to use. |
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We encourage others to finetune further from our models. |
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