1.5 KiB
1.5 KiB
library_name, tags, license, language, base_model, pipeline_tag
| library_name | tags | license | language | base_model | pipeline_tag | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers |
|
apache-2.0 |
|
|
text-generation |
Flerovium-Llama-3B-GGUF
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.
Model File
| File Name | Size | Format |
|---|---|---|
| Flerovium-Llama-3B.BF16.gguf | 6.43 GB | BF16 |
| Flerovium-Llama-3B.F16.gguf | 6.43 GB | F16 |
| Flerovium-Llama-3B.Q4_K_M.gguf | 2.02 GB | Q4_K_M |
| Flerovium-Llama-3B.Q5_K_M.gguf | 2.32 GB | Q5_K_M |
| .gitattributes | 1.78 kB | - |
| README.md | 927 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):
