Model Card on HF 🤗: https://huggingface.co/Miguelsbdh/llama-3-finetuned-bases-de-datos
Llama 3 Finetuned Bases De Datos Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Llama 3 Finetuned Bases De Datos Parameters and Internals
| LLM Name | Llama 3 Finetuned Bases De Datos |
| Repository 🤗 | https://huggingface.co/Miguelsbdh/llama-3-finetuned-bases-de-datos |
| Model Size | 2b |
| Required VRAM | 5.7 GB |
| Updated | 2024-12-26 |
| Maintainer | Miguelsbdh |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| Tokenizer Class | PreTrainedTokenizerFast |
Best Alternatives to Llama 3 Finetuned Bases De Datos
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 2 2B It GGUF | 0K / 0.8 GB | 2220536 | 8 |
| PrathameshLLM 2B GGUF | 0K / 1.2 GB | 3281 | 1 |
| Jenna Gemma V01 Gguf 16bit | 0K / 5 GB | 15 | 0 |
| Jenna Gemma V01 Gguf 8bit | 0K / 2.7 GB | 10 | 1 |
| Mergekit Slerp Lvhhlmq GGUF | 0K / 1.2 GB | 10 | 0 |
| Jenna Gemma V01 Gguf Q4 | 0K / 1.6 GB | 7 | 0 |
| Gemma 2B It Bnb 4bit Gguf F16 | 0K / 5 GB | 8 | 0 |
| ...mma 2B It Bnb 4bit Gguf Q5 K M | 0K / 0.5 GB | 7 | 0 |
| Gemma 2B It Bnb 4bit Gguf Q8 0 | 0K / 0.7 GB | 6 | 0 |
| ...mma 2B It Bnb 4bit Gguf Q4 K M | 0K / 0.5 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Miguelsbdh/llama-3-finetuned-bases-de-datos .
Rank the Llama 3 Finetuned Bases De Datos Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217