Image-Text-to-Text
Transformers
Safetensors
kimi_k25
feature-extraction
compressed-tensors
conversational
custom_code
Eval Results
Instructions to use moonshotai/Kimi-K2.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moonshotai/Kimi-K2.6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="moonshotai/Kimi-K2.6", trust_remote_code=True) messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("moonshotai/Kimi-K2.6", trust_remote_code=True, dtype="auto") - Inference
- HuggingChat
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use moonshotai/Kimi-K2.6 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "moonshotai/Kimi-K2.6" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "moonshotai/Kimi-K2.6", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/moonshotai/Kimi-K2.6
- SGLang
How to use moonshotai/Kimi-K2.6 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "moonshotai/Kimi-K2.6" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "moonshotai/Kimi-K2.6", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "moonshotai/Kimi-K2.6" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "moonshotai/Kimi-K2.6", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use moonshotai/Kimi-K2.6 with Docker Model Runner:
docker model run hf.co/moonshotai/Kimi-K2.6
Commit ·
d9cb81b
1
Parent(s): 36d7872
Add evaluation results for HLE, GPQA, AIME, HMMT, SWE-Bench, and Terminal-Bench (#4)
Browse files- Add evaluation results for HLE, GPQA, AIME, HMMT, SWE-Bench, and Terminal-Bench (64ed7450cf8801fae6fc24d6bea85e034393d974)
Co-authored-by: Nathan Habib <[email protected]>
- .eval_results/aime_2026.yaml +9 -0
- .eval_results/gpqa_diamond.yaml +9 -0
- .eval_results/hle.yaml +9 -0
- .eval_results/hle_with_tools.yaml +10 -0
- .eval_results/hmmt_feb_2026.yaml +9 -0
- .eval_results/swe_bench_pro.yaml +9 -0
- .eval_results/swe_bench_verified.yaml +9 -0
- .eval_results/terminal_bench_2.yaml +9 -0
.eval_results/aime_2026.yaml
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- dataset:
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id: MathArena/aime_2026
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task_id: MathArena/aime_2026
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value: 96.4
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date: '2026-04-20'
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source:
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url: https://huggingface.co/moonshotai/Kimi-K2.6
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name: Model Card
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user: SaylorTwift
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.eval_results/gpqa_diamond.yaml
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- dataset:
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id: Idavidrein/gpqa
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task_id: diamond
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value: 90.5
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date: '2026-04-20'
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source:
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url: https://huggingface.co/moonshotai/Kimi-K2.6
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name: Model Card
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user: SaylorTwift
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.eval_results/hle.yaml
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- dataset:
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id: cais/hle
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task_id: hle
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value: 34.7
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date: '2026-04-20'
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source:
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url: https://huggingface.co/moonshotai/Kimi-K2.6
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name: Model Card
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user: SaylorTwift
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.eval_results/hle_with_tools.yaml
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- dataset:
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id: cais/hle
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task_id: hle
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value: 54.0
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date: '2026-04-20'
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source:
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url: https://huggingface.co/moonshotai/Kimi-K2.6
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name: Model Card
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user: SaylorTwift
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notes: "With tools"
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.eval_results/hmmt_feb_2026.yaml
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- dataset:
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id: MathArena/hmmt_feb_2026
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task_id: MathArena/hmmt_feb_2026
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value: 92.7
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date: '2026-04-20'
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source:
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url: https://huggingface.co/moonshotai/Kimi-K2.6
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name: Model Card
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user: SaylorTwift
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.eval_results/swe_bench_pro.yaml
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- dataset:
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id: ScaleAI/SWE-bench_Pro
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task_id: SWE_Bench_Pro
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value: 58.6
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date: '2026-04-20'
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source:
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url: https://huggingface.co/moonshotai/Kimi-K2.6
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name: Model Card
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user: SaylorTwift
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.eval_results/swe_bench_verified.yaml
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id: SWE-bench/SWE-bench_Verified
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task_id: swe_bench_%_resolved
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value: 80.2
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date: '2026-04-20'
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source:
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url: https://huggingface.co/moonshotai/Kimi-K2.6
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name: Model Card
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user: SaylorTwift
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.eval_results/terminal_bench_2.yaml
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- dataset:
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id: harborframework/terminal-bench-2.0
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task_id: terminalbench_2
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value: 66.7
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date: '2026-04-20'
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source:
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url: https://huggingface.co/moonshotai/Kimi-K2.6
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name: Model Card
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user: SaylorTwift
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