38 lines
1.5 KiB
Markdown
38 lines
1.5 KiB
Markdown
---
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library_name: transformers
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tags:
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- llama3.2
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- math
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- code
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- text-generation-inference
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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/Flerovium-Llama-3B
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pipeline_tag: text-generation
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---
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# **Flerovium-Llama-3B-GGUF**
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> **Flerovium-Llama-3B** is a compact, general-purpose language model based on the powerful **llama 3.2** (llama) architecture. It is fine-tuned for a broad range of tasks including **mathematical reasoning**, **code generation**, and **natural language understanding**, making it a versatile choice for developers, students, and researchers seeking reliable performance in a lightweight model.
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## Model File
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| File Name | Size | Format |
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|------------------------------------------|---------|--------|
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| Flerovium-Llama-3B.BF16.gguf | 6.43 GB | BF16 |
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| Flerovium-Llama-3B.F16.gguf | 6.43 GB | F16 |
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| Flerovium-Llama-3B.Q4_K_M.gguf | 2.02 GB | Q4_K_M |
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| Flerovium-Llama-3B.Q5_K_M.gguf | 2.32 GB | Q5_K_M |
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| .gitattributes | 1.78 kB | - |
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| README.md | 927 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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