Model Card on HF 🤗: https://huggingface.co/fnlp/AnyGPT-base
AnyGPT Base 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)
AnyGPT Base Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | AnyGPT Base |
| Repository 🤗 | https://huggingface.co/fnlp/AnyGPT-base |
| Required VRAM | 27.7 GB |
| Updated | 2025-02-22 |
| Maintainer | fnlp |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.34.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 53516 |
| Torch Data Type | float32 |
Best Alternatives to AnyGPT Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LWM Text 512K | 512K / 13.5 GB | 10 | 2 |
| LWM Text Chat 512K | 512K / 13.5 GB | 6 | 2 |
| LWM Text 256K | 256K / 13.5 GB | 26 | 3 |
| LWM Text Chat 256K | 256K / 13.5 GB | 21 | 3 |
| Pallas 0.5 LASER 0.1 | 195K / 68.9 GB | 1991 | 2 |
| Ashley3b X 1.2 | 128K / 6.5 GB | 25 | 0 |
| Ashley3b X 1.3 | 128K / 6.5 GB | 14 | 0 |
| Cyber13 | 128K / 16.1 GB | 5 | 0 |
| Cyber8 | 128K / 16.1 GB | 5 | 0 |
| LWM Text Chat 128K | 128K / 13.5 GB | 41 | 20 |
Note: green Score (e.g. "73.2") means that the model is better than fnlp/AnyGPT-base .
Rank the AnyGPT Base 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? 43470 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227