Model Card on HF 🤗: https://huggingface.co/sp-embraceable/e2-phi4-instruct-NTK-Scaled-1000steps-Merged
E2 Phi4 Instruct NTK Scaled 1000steps Merged 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)
E2 Phi4 Instruct NTK Scaled 1000steps Merged Parameters and Internals
| LLM Name | E2 Phi4 Instruct NTK Scaled 1000steps Merged |
| Repository 🤗 | https://huggingface.co/sp-embraceable/e2-phi4-instruct-NTK-Scaled-1000steps-Merged |
| Model Size | 14.7b |
| Required VRAM | 29.4 GB |
| Updated | 2025-07-30 |
| Maintainer | sp-embraceable |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32000 |
| Model Max Length | 32000 |
| Transformers Version | 4.53.3 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|dummy_87|> |
| Vocabulary Size | 100352 |
| Torch Data Type | bfloat16 |
Best Alternatives to E2 Phi4 Instruct NTK Scaled 1000steps Merged
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| E2 Phi4 Instruct NTK Scaled | 31K / 29.4 GB | 40 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than sp-embraceable/e2-phi4-instruct-NTK-Scaled-1000steps-Merged .
Rank the E2 Phi4 Instruct NTK Scaled 1000steps Merged Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124