Adapter Base model:adapter:microsoft/p... Base model:microsoft/phi-3-min... Conversational Dataset:alignmentlab-ai/alpaca... En Finetuned Instruct Lora Mistral Peft Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/XeroCodes/xenith-3b
Xenith 3B 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)
Xenith 3B Parameters and Internals
| Model Type |
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| Additional Notes |
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| Supported Languages |
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| Training Details |
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| LLM Name | Xenith 3B |
| Repository 🤗 | https://huggingface.co/XeroCodes/xenith-3b |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 7.6 GB |
| Updated | 2025-09-23 |
| Maintainer | XeroCodes |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Adapter |
| License | apache-2.0 |
| Model Max Length | 4096 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|v_proj|q_proj|gate_proj|o_proj|up_proj|down_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Xenith 3B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OpenRP3B Llama3.2 | 0K / 0.1 GB | 2 | 1 |
| Trained Quant 4bit | 0K / 0 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than XeroCodes/xenith-3b .
Rank the Xenith 3B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124