Replit Openorca GGML 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)
Replit Openorca GGML Parameters and Internals
| LLM Name | Replit Openorca GGML |
| Repository 🤗 | https://huggingface.co/TheBloke/replit-openorca-GGML |
| Required VRAM | 1.5 GB |
| Updated | 2024-09-18 |
| Maintainer | TheBloke |
| Model Type | replit |
| Model Files | |
| GGML Quantization | Yes |
| Quantization Type | ggml |
| Model Architecture | AutoModel |
Best Alternatives to Replit Openorca GGML
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Athena V1 GGML | 0K / 5.5 GB | 0 | 1 |
| MythoMax Kimiko Mix GGML | 0K / 5.7 GB | 0 | 3 |
| Octocoder GGML | 0K / 10.7 GB | 5 | 15 |
| ...ax22b Instruct Falseblock GGML | 0K / 9.2 GB | 2 | 6 |
| NewHope GGML | 0K / 5.7 GB | 2 | 38 |
| PULI GPT 3SX GGML | 0K / 3.9 GB | 7 | 4 |
| Spring Dragon GGML | 0K / 5.5 GB | 1 | 3 |
| QCammel 13 GGML | 0K / 5.5 GB | 6 | 8 |
| OpenChat V3.2 GGML | 0K / 5.7 GB | 1 | 15 |
| QCammel 70 X GGML | 0K / 28.6 GB | 6 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/replit-openorca-GGML .
Rank the Replit Openorca GGML Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803