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Model: prithivMLmods/Oganesson-TinyLlama-1.2B-GGUF
Source: Original Platform

.gitattributes

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Oganesson-TinyLlama-1.2B.BF16.gguf

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Oganesson-TinyLlama-1.2B.F16.gguf

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Oganesson-TinyLlama-1.2B.F32.gguf

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Oganesson-TinyLlama-1.2B.Q4_K_M.gguf

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README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- prithivMLmods/Oganesson-TinyLlama-1.2B
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- text-generation-inference
+- code
+- math
+- llama-3.2
+---
+# **Oganesson-TinyLlama-1.2B-GGUF**
+
+> **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.
+
+## Model File
+
+| File Name                                     | Size    | Format |
+|-----------------------------------------------|---------|--------|
+| Oganesson-TinyLlama-1.2B.BF16.gguf            | 2.48 GB | BF16   |
+| Oganesson-TinyLlama-1.2B.F16.gguf             | 2.48 GB | F16    |
+| Oganesson-TinyLlama-1.2B.F32.gguf             | 4.95 GB | F32    |
+| Oganesson-TinyLlama-1.2B.Q4_K_M.gguf          | 808 MB  | Q4_K_M |
+| .gitattributes                                | 1.8 kB  | -      |
+| README.md                                     | 212 B   | -      |
+| config.json                                   | 31 B    | JSON   |
+
+## Quants Usage 
+
+(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
+
+Here is a handy graph by ikawrakow comparing some lower-quality quant
+types (lower is better):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)

config.json

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+{
+    "model_type": "llama"
+}

configuration.json

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+{"framework": "pytorch", "task": "others", "allow_remote": true}