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Browse files- .gitattributes +14 -0
- README.md +35 -0
- bucharest-0.2.Q2_K.gguf +3 -0
- bucharest-0.2.Q3_K_L.gguf +3 -0
- bucharest-0.2.Q3_K_M.gguf +3 -0
- bucharest-0.2.Q3_K_S.gguf +3 -0
- bucharest-0.2.Q4_0.gguf +3 -0
- bucharest-0.2.Q4_1.gguf +3 -0
- bucharest-0.2.Q4_K_M.gguf +3 -0
- bucharest-0.2.Q4_K_S.gguf +3 -0
- bucharest-0.2.Q5_0.gguf +3 -0
- bucharest-0.2.Q5_1.gguf +3 -0
- bucharest-0.2.Q5_K_M.gguf +3 -0
- bucharest-0.2.Q5_K_S.gguf +3 -0
- bucharest-0.2.Q6_K.gguf +3 -0
- bucharest-0.2.Q8_0.gguf +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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bucharest-0.2.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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title: "Bucharest-0.2 Quantized in GGUF"
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tags:
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- GGUF
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language: en
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---
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# Tsunemoto GGUF's of Bucharest-0.2
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This is a GGUF quantization of Bucharest-0.2.
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## Original Repo Link:
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[Original Repository](https://huggingface.co/Mihaiii/Bucharest-0.2)
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## Original Model Card:
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---
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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An instruct based fine tune of [migtissera/Tess-10.7B-v1.5b](https://huggingface.co/migtissera/Tess-10.7B-v1.5b).
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It should be used for enterprise tasks that involve reasoning and text comprehension.
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This model is trained on a private dataset + [Mihaiii/OpenHermes-2.5-1k-longest-curated](https://huggingface.co/datasets/Mihaiii/OpenHermes-2.5-1k-longest-curated), which is a subset of [HuggingFaceH4/OpenHermes-2.5-1k-longest](https://huggingface.co/datasets/HuggingFaceH4/OpenHermes-2.5-1k-longest), which is a subset of [teknium/OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5).
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The high GSM8K score is **NOT** because of the MetaMath dataset.
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# Prompt Format:
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```
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SYSTEM: <ANY SYSTEM CONTEXT>
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USER:
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ASSISTANT:
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```
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