Model Card on HF 🤗: https://huggingface.co/TheBloke/CAMEL-33B-Combined-Data-GGUF
CAMEL 33B Combined Data GGUF 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)
CAMEL 33B Combined Data GGUF Parameters and Internals
| Model Type |
|
| LLM Name | CAMEL 33B Combined Data GGUF |
| Repository 🤗 | https://huggingface.co/TheBloke/CAMEL-33B-Combined-Data-GGUF |
| Model Name | CAMEL 33B Combined Data |
| Model Creator | CAMEL |
| Base Model(s) | |
| Model Size | 33b |
| Required VRAM | 13.5 GB |
| Updated | 2024-12-26 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | other |
Best Alternatives to CAMEL 33B Combined Data GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...epseek Coder 33B Instruct GGUF | 0K / 14 GB | 3865 | 160 |
| WizardCoder 33B V1.1 GGUF | 0K / 14 GB | 747 | 45 |
| WhiteRabbitNeo 33B V1 GGUF | 0K / 12.3 GB | 493 | 29 |
| Everyone Coder 33B Base GGUF | 0K / 12.4 GB | 382 | 12 |
| Code 33B GGUF | 0K / 13.5 GB | 468 | 5 |
| Python Code 33B GGUF | 0K / 13.5 GB | 739 | 3 |
| Deepseek Coder 33B Base GGUF | 0K / 14 GB | 735 | 8 |
| Vicuna 33B Coder GGUF | 0K / 13.5 GB | 796 | 6 |
| Vicuna 33B GGUF | 0K / 13.5 GB | 675 | 16 |
| Chronoboros 33B GGUF | 0K / 13.5 GB | 442 | 10 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CAMEL-33B-Combined-Data-GGUF .
Rank the CAMEL 33B Combined Data GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227