Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Mistral Region:us Safetensors
Phi Filtered 500M C1 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)
Phi Filtered 500M C1 Parameters and Internals
| LLM Name | Phi Filtered 500M C1 |
| Repository 🤗 | https://huggingface.co/rwitz2/phi-filtered-500m-c1 |
| Model Size | 1b |
| Required VRAM | 0.7 GB |
| Updated | 2024-10-20 |
| Maintainer | rwitz2 |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to Phi Filtered 500M C1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Ganga 1B | 128K / 4 GB | 455 | 14 |
| MD Judge V0.1 | 32K / 14.4 GB | 769 | 13 |
| Nucleus 1B Alpha 1 | 32K / 2.3 GB | 28 | 12 |
| Mallam 1.1B 20K Instructions | 32K / 2.2 GB | 8 | 1 |
| Experimental Mistral 1B V00 | 32K / 3.5 GB | 2 | 2 |
| Lmlab Mistral 1B Untrained | 32K / 4.5 GB | 35 | 7 |
| Empty Phi 1B | 3K / 5.8 GB | 6 | 0 |
| Nucleus 1B GPTQ | 32K / 1 GB | 6 | 1 |
| Mistral 1B GPTQ | 32K / 1 GB | 25 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than rwitz2/phi-filtered-500m-c1 .
Rank the Phi Filtered 500M C1 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? 37106 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803