Arxiv:2407.10671 4bit Agentic Ar Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Bn Ceb Conversational Cs De Deepseek-r1 En Endpoints compatible Es Fa Finetuned Fr He Hi Id Instruct It Ja Km Ko Lo Ms My Nl Open-llm Pl Pt Quantized Qwen2 Qwen2.5 Reasoning Region:us Ru Safetensors Sharded Synthetic-data Tensorflow Th Tl Tr Trl Unsloth Ur Vi Zh
Model Card on HF 🤗: https://huggingface.co/open-neo/Kyro-n1-7B
Kyro N1 7B Benchmarks
MMLU Pro: 37.04
GPQA: 1.45
MUSR: 5.92
BBH: 34.4
IFEval: 55.73 vs 88 (so35)-36.7%
MATH Lvl 5: 38.97
LLME Score: 0.32327
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)
Kyro N1 7B Parameters and Internals
| LLM Name | Kyro N1 7B |
| Repository 🤗 | https://huggingface.co/open-neo/Kyro-n1-7B |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-04-29 |
| Maintainer | open-neo |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en zh fr es pt de it ru ja ko vi th ar fa he tr cs pl hi bn ur id ms lo my km tl nl |
| Quantization Type | 4bit |
| Model Architecture | Qwen2ForCausalLM |
| License | mit |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.48.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 152064 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Kyro N1 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Instruct 1M 4bit | 986K / 4.3 GB | 621 | 8 |
| ...B Instruct 1M Unsloth Bnb 4bit | 986K / 7.5 GB | 625 | 2 |
| Qwen2.5 7B Instruct 1M 8bit | 986K / 8.1 GB | 94 | 3 |
| Qwen2.5 7B Instruct 1M 6bit | 986K / 6.2 GB | 26 | 2 |
| ...5 7B Instruct Unsloth Bnb 4bit | 32K / 7.2 GB | 800385 | 2 |
| Distill Qw Test | 32K / 15.2 GB | 8 | 0 |
| Zirel 7B Math | 32K / 15.2 GB | 10 | 0 |
| Mini QwQ | 32K / 15.2 GB | 39 | 1 |
| AetherSett | 32K / 15.2 GB | 4 | 1 |
| SphinX | 32K / 15.2 GB | 32 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than open-neo/Kyro-n1-7B .
Rank the Kyro N1 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227