| Model Type |
| ||||||
| Additional Notes |
| ||||||
| Training Details |
|
| LLM Name | LLaMA3 Iterative DPO Final GGUF |
| Repository ๐ค | https://huggingface.co/sirovub/LLaMA3-iterative-DPO-final-GGUF |
| Required VRAM | 16.1 GB |
| Updated | 2025-10-14 |
| Maintainer | sirovub |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q8 |
| Model Architecture | LlamaForCausalLM |
| License | llama3 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| KernelLLM GGUF | 128K / 2.2 GB | 1643 | 2 |
| LLAMA2 GOOD GGUF | 16K / 4.8 GB | 17 | 0 |
| Codellama Cairo Instruct GGUF | 16K / 4.1 GB | 13 | 1 |
| Aware Ai 1st | 8K / 16.1 GB | 13 | 0 |
| MFANNv0.6 GGUF | 8K / 4.7 GB | 5 | 0 |
| Tinyllama Coder Py V15 | 4K / 0.7 GB | 112 | 0 |
| UlizaLlama Q4 K M Gguf | 4K / 4.2 GB | 21 | 0 |
| Tinyllama Coder Py V16 | 4K / 0.7 GB | 10 | 0 |
| Cancer Llama.5 Llm | 4K / 4.1 GB | 12 | 0 |
| Sakura SOLAR Instruct GGUF | 4K / 4.5 GB | 803 | 1 |
๐ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐