38 lines
1.5 KiB
Markdown
38 lines
1.5 KiB
Markdown
---
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license: apache-2.0
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language:
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- en
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base_model:
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- prithivMLmods/Oganesson-TinyLlama-1.2B
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- text-generation-inference
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- code
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- math
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- llama-3.2
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---
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# **Oganesson-TinyLlama-1.2B-GGUF**
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> **Oganesson-TinyLlama-1.2B** is a lightweight and efficient language model built on the **LLaMA 3.2 1.2B** architecture. Fine-tuned for **general-purpose inference**, **mathematical reasoning**, and **code generation**, it’s ideal for edge devices, personal assistants, and educational applications requiring a compact yet capable model.
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## Model File
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| File Name | Size | Format |
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|-----------------------------------------------|---------|--------|
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| Oganesson-TinyLlama-1.2B.BF16.gguf | 2.48 GB | BF16 |
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| Oganesson-TinyLlama-1.2B.F16.gguf | 2.48 GB | F16 |
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| Oganesson-TinyLlama-1.2B.F32.gguf | 4.95 GB | F32 |
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| Oganesson-TinyLlama-1.2B.Q4_K_M.gguf | 808 MB | Q4_K_M |
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| .gitattributes | 1.8 kB | - |
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| README.md | 212 B | - |
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| config.json | 31 B | JSON |
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## Quants Usage
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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