Model Card on HF 🤗: https://huggingface.co/netcat420/MFANN3b-Rebase
MFANN3b Rebase 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)
MFANN3b Rebase Parameters and Internals
| LLM Name | MFANN3b Rebase |
| Repository 🤗 | https://huggingface.co/netcat420/MFANN3b-Rebase |
| Model Size | 2.8b |
| Required VRAM | 11.1 GB |
| Updated | 2024-12-22 |
| Maintainer | netcat420 |
| Model Type | phi |
| Model Files | |
| Model Architecture | PhiForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | CodeGenTokenizer |
| Vocabulary Size | 51200 |
| Torch Data Type | bfloat16 |
Best Alternatives to MFANN3b Rebase
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MFANN3bv0.24 | 128K / 11.1 GB | 47 | 0 |
| MFANN3b | 128K / 11.1 GB | 214 | 0 |
| MFANN3b SFT | 128K / 5.6 GB | 1522 | 0 |
| MFANN3bv0.23 | 128K / 11.1 GB | 57 | 0 |
| MFANN Phigments Slerp V2 | 32K / 5.6 GB | 309 | 0 |
| MFANN3bv0.22 | 32K / 11.1 GB | 15 | 0 |
| MFANN3bv0.21 | 32K / 11.1 GB | 9 | 0 |
| MFANN3bv0.20 | 32K / 11.1 GB | 24 | 0 |
| MFANN3bv0.19 | 32K / 11.1 GB | 25 | 0 |
| MFANN3bv0.18 | 32K / 11.1 GB | 22 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANN3b-Rebase .
Rank the MFANN3b Rebase Capabilities
🆘 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! 🌟
What open-source LLMs or SLMs are you in search of? 40066 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217