Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/phi-3.5-m... Conversational Custom code Dataset:redix/dataforge En Endpoints compatible Instruct It Phi3 Region:us Safetensors Sharded Tensorflow Trl
Model Card on HF 🤗: https://huggingface.co/ReDiX/Artemide-3.5
Artemide 3.5 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)
Artemide 3.5 Parameters and Internals
| LLM Name | Artemide 3.5 |
| Repository 🤗 | https://huggingface.co/ReDiX/Artemide-3.5 |
| Base Model(s) | |
| Model Size | 3.8b |
| Required VRAM | 7.7 GB |
| Updated | 2025-06-17 |
| Maintainer | ReDiX |
| Model Type | phi3 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | it en |
| Model Architecture | Phi3ForCausalLM |
| License | mit |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to Artemide 3.5
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 4 Mini Instruct | 128K / 7.7 GB | 235092 | 505 |
| Phi 3.5 Mini Instruct | 128K / 7.7 GB | 276132 | 876 |
| Phi 3 Mini 128K Instruct | 128K / 7.7 GB | 332206 | 1648 |
| NuExtract V1.5 | 128K / 7.7 GB | 108511 | 89 |
| NuExtract 1.5 | 128K / 7.7 GB | 24309 | 232 |
| Phi 4 Mini Instruct | 128K / 7.7 GB | 4514 | 16 |
| Phi 3.5 Mini TitanFusion 0.1 | 128K / 7.7 GB | 25 | 0 |
| Phi 4 Bifrost Sol 3.8B | 128K / 7.7 GB | 61 | 1 |
| ECE EIFFEL 3Bv2 | 128K / 7.7 GB | 5 | 0 |
| Glider | 128K / 15.4 GB | 1390 | 41 |
Note: green Score (e.g. "73.2") means that the model is better than ReDiX/Artemide-3.5 .
Rank the Artemide 3.5 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124