4bit Base model:quantized:unsloth/l... Base model:unsloth/llama-2-7b-... En Endpoints compatible Gguf Gguf Llama Llama Llama-2-7b Quantized Region:us Unsloth Wandb
Model Card on HF 🤗: https://huggingface.co/Alaninfant/OrpoLlama-2-7B
OrpoLlama 2 7B 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)
OrpoLlama 2 7B Parameters and Internals
| Additional Notes |
|
| LLM Name | OrpoLlama 2 7B |
| Repository 🤗 | https://huggingface.co/Alaninfant/OrpoLlama-2-7B |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.1 GB |
| Updated | 2025-05-18 |
| Maintainer | Alaninfant |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to OrpoLlama 2 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 17 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 332224 | 97 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 280204 | 11 |
| WizardLM 2 7B GGUF | 0K / 2.7 GB | 304280 | 80 |
| Conversely Mistral 7B | 0K / 0.2 GB | 20 | 0 |
| Mistral 7B Instruct V0.1 GGUF | 0K / 3.1 GB | 364512 | 566 |
| CleverBoi 7B V2 | 0K / 0.1 GB | 25 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 33219 | 9 |
| ...hemeng Qwen Math 7b 24 1 100 1 | 0K / 15.2 GB | 34 | 0 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 58057 | 433 |
Note: green Score (e.g. "73.2") means that the model is better than Alaninfant/OrpoLlama-2-7B .
Rank the OrpoLlama 2 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227