Llama 3.1 Centaur 70B is an open-source language model by marcelbinz. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: llama3.1, Quantized, LLM Explorer Score: 0.16.
| LLM Name | Llama 3.1 Centaur 70B |
| Repository 🤗 | https://huggingface.co/marcelbinz/Llama-3.1-Centaur-70B |
| Model Size | 70b |
| Required VRAM | 141.9 GB |
| Updated | 2026-05-22 |
| Maintainer | marcelbinz |
| Model Type | llama |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| License | llama3.1 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.43.3 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | ! |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...B Instruct Gradient 1048K 8bit | 1024K / 75 GB | 52 | 5 |
| ...B Instruct Gradient 1048K 4bit | 1024K / 39.7 GB | 28 | 3 |
| ...B Instruct Gradient 1048K 2bit | 1024K / 21.9 GB | 38 | 2 |
| ...0B Instruct Gradient 262K 4bit | 256K / 39.7 GB | 31 | 3 |
| ...0B Instruct Gradient 262K 8bit | 256K / 75 GB | 26 | 2 |
| ...0B Instruct Gradient 262K 2bit | 256K / 21.9 GB | 20 | 1 |
| ... Gradient 262K 2.25bpw H6 EXL2 | 256K / 22.2 GB | 8 | 0 |
| ...t Gradient 262K 2.4bpw H6 EXL2 | 256K / 23.5 GB | 9 | 0 |
| ...t Gradient 262K 3.5bpw H6 EXL2 | 256K / 32.9 GB | 6 | 0 |
| ...t Gradient 262K 4.0bpw H6 EXL2 | 256K / 37.2 GB | 2 | 1 |
🆘 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! 🌟