Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/phi-4 Conversational Custom code Dataset:kuotient/gsm8k-ko Dataset:lilacai/glaive-functio... Dataset:saxo/en ko translation... Endpoints compatible Phi3 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/AXCXEPT/EZO-phi-4-v2_900
EZO Phi 4 V2.900 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)
EZO Phi 4 V2.900 Parameters and Internals
| LLM Name | EZO Phi 4 V2.900 |
| Repository 🤗 | https://huggingface.co/AXCXEPT/EZO-phi-4-v2_900 |
| Base Model(s) | |
| Model Size | 14.7b |
| Required VRAM | 29.4 GB |
| Updated | 2025-02-05 |
| Maintainer | AXCXEPT |
| Model Type | phi3 |
| Model Files | |
| Model Architecture | Phi3ForCausalLM |
| License | mit |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.48.0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 100352 |
| Torch Data Type | bfloat16 |
Best Alternatives to EZO Phi 4 V2.900
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 4 | 16K / 29.4 GB | 408446 | 1667 |
| Microsoft Phi 4 | 16K / 29.4 GB | 2848 | 55 |
| Phi4 Abliterated | 16K / 29.4 GB | 519 | 8 |
| Phi 4 RP V0 | 16K / 29.5 GB | 52 | 2 |
| Phi 4 AbliteratedRP | 16K / 29.5 GB | 49 | 2 |
| Phi 4 Abliterated | 16K / 29.4 GB | 268 | 23 |
| Flashlight V1.1 | 16K / 29.4 GB | 13 | 0 |
| Phi 4 Bf16 | 16K / 29.3 GB | 41880 | 2 |
| EZO Phi 4 V2.1350 | 16K / 29.4 GB | 46 | 0 |
| Phi 4 Abliterated | 16K / 29.4 GB | 325 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than AXCXEPT/EZO-phi-4-v2_900 .
Rank the EZO Phi 4 V2.900 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227