Kimi K2 Thinking Eagle3 is an open-source language model by nvidia. Features: 1.8b LLM, VRAM: 3.7GB, Context: 256K, License: other, LLM Explorer Score: 0.24.
Arxiv:2503.01840 Base model:finetune:moonshotai... Base model:moonshotai/kimi-k2-... Eagle3 Kimi-k2 Kimi k2 Model optimizer Modelopt Nvidia Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/nvidia/Kimi-K2-Thinking-Eagle3
Kimi K2 Thinking Eagle3 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)
Kimi K2 Thinking Eagle3 Parameters and Internals
| LLM Name | Kimi K2 Thinking Eagle3 |
| Repository 🤗 | https://huggingface.co/nvidia/Kimi-K2-Thinking-Eagle3 |
| Base Model(s) | |
| Model Size | 1.8b |
| Required VRAM | 3.7 GB |
| Updated | 2026-05-26 |
| Maintainer | nvidia |
| Model Type | kimi_k2 |
| Model Files | |
| Model Architecture | Eagle3DeepseekV2ForCausalLM |
| License | other |
| Context Length | 262144 |
| Model Max Length | 262144 |
| Transformers Version | 4.51.3 |
| Vocabulary Size | 163840 |
| Torch Data Type | bfloat16 |
Best Alternatives to Kimi K2 Thinking Eagle3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Kimi K2.5 Thinking Eagle3 | 256K / 3.7 GB | 9023 | 16 |
Note: green Score (e.g. "73.2") means that the model is better than nvidia/Kimi-K2-Thinking-Eagle3 .
Rank the Kimi K2 Thinking Eagle3 Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 54415 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a