Model Card on HF 🤗: https://huggingface.co/ar9av/phi-charts-train-test-val
Phi Charts Train Test Val 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 Charts Train Test Val Parameters and Internals
| LLM Name | Phi Charts Train Test Val |
| Repository 🤗 | https://huggingface.co/ar9av/phi-charts-train-test-val |
| Required VRAM | 8.3 GB |
| Updated | 2025-01-19 |
| Maintainer | ar9av |
| Model Type | phi3_v |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Phi3VForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.42.0.dev0 |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to Phi Charts Train Test Val
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...28K Instruct Abliterated Alpha | 128K / 8.3 GB | 242 | 16 |
| ...3 Vision Glaucoma Diagnosis V1 | 128K / 8.3 GB | 34 | 1 |
| ...Vision 128K Instruct Onnx Cuda | 128K / GB | 62 | 27 |
| ... Vision 128K Instruct Onnx Cpu | 128K / GB | 50 | 28 |
| ...on 128K Instruct Onnx Directml | 128K / GB | 42 | 8 |
| ...Vision 128K Instruct Quantized | 128K / 2.4 GB | 26 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than ar9av/phi-charts-train-test-val .
Rank the Phi Charts Train Test Val 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? 41636 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227