Image-Text-to-Text
Transformers
Safetensors
English
qwen3_5
decision-model
typed-decisions
one-pass
option-probabilities
conversational
Instructions to use thegovind/blink-mimo-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thegovind/blink-mimo-9b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="thegovind/blink-mimo-9b") 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)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("thegovind/blink-mimo-9b") model = AutoModelForMultimodalLM.from_pretrained("thegovind/blink-mimo-9b", device_map="auto") 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?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use thegovind/blink-mimo-9b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "thegovind/blink-mimo-9b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "thegovind/blink-mimo-9b", "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/thegovind/blink-mimo-9b
- SGLang
How to use thegovind/blink-mimo-9b 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 "thegovind/blink-mimo-9b" \ --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": "thegovind/blink-mimo-9b", "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 "thegovind/blink-mimo-9b" \ --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": "thegovind/blink-mimo-9b", "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 thegovind/blink-mimo-9b with Docker Model Runner:
docker model run hf.co/thegovind/blink-mimo-9b
Download eval/decision-index-0.2-local.json from thegovind/blink-mimo-9b: direct link, hf CLI and curl.
- Browser
- Download file 29.7 kB
-
https://huggingface.co/thegovind/blink-mimo-9b/resolve/57ae92b1d2b44f893b5dd6dcdeba155a22c4c922/eval/decision-index-0.2-local.json
- Command line
-
hf download hf://thegovind/blink-mimo-9b@57ae92b1d2b44f893b5dd6dcdeba155a22c4c922/eval/decision-index-0.2-local.json
-
curl -L -o decision-index-0.2-local.json https://huggingface.co/thegovind/blink-mimo-9b/resolve/57ae92b1d2b44f893b5dd6dcdeba155a22c4c922/eval/decision-index-0.2-local.json
29.7 kB
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| "index_skill": 0.0, | |
| "coverage": 1.0, | |
| "chance": 0.1641, | |
| "in_index": true | |
| }, | |
| "48": { | |
| "catalog_id": 48, | |
| "dataset": "ForecastBench", | |
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| "answered": 10139, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "scored_requests": 10139, | |
| "metric": "Brier (lower is better)", | |
| "score": 0.1795, | |
| "reference_same_cases": null, | |
| "median_ms": 73.2, | |
| "index_raw": 0.282, | |
| "index_skill": 0.282, | |
| "coverage": 1.0, | |
| "chance": 0.25, | |
| "in_index": true | |
| }, | |
| "50": { | |
| "catalog_id": 50, | |
| "dataset": "Habermas Machine", | |
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| "answered": 1676, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "scored_requests": 1676, | |
| "metric": "accuracy", | |
| "score": 0.4553, | |
| "reference_same_cases": null, | |
| "median_ms": 81.4, | |
| "index_raw": 0.4553, | |
| "index_skill": 0.2094, | |
| "coverage": 1.0, | |
| "chance": 0.311, | |
| "in_index": true | |
| }, | |
| "56": { | |
| "catalog_id": 56, | |
| "dataset": "PhishNChips phishing decisions", | |
| "requests": 2000, | |
| "answered": 2000, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "metric": "accuracy", | |
| "score": 0.6655, | |
| "median_ms": 208.8, | |
| "scored_requests": 2000, | |
| "index_raw": 0.6655, | |
| "index_skill": 0.331, | |
| "coverage": 1.0, | |
| "chance": 0.5, | |
| "in_index": true | |
| }, | |
| "57": { | |
| "catalog_id": 57, | |
| "dataset": "MMLU-Pro", | |
| "requests": 12032, | |
| "answered": 12032, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "metric": "accuracy", | |
| "score": 0.6137, | |
| "median_ms": 30.6, | |
| "scored_requests": 12032, | |
| "index_raw": 0.6137, | |
| "index_skill": 0.5655, | |
| "coverage": 1.0, | |
| "chance": 0.1109, | |
| "in_index": true | |
| }, | |
| "58": { | |
| "catalog_id": 58, | |
| "dataset": "BBH fixed-option tasks", | |
| "requests": 5507, | |
| "answered": 5507, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "metric": "accuracy", | |
| "score": 0.6784, | |
| "median_ms": 23.7, | |
| "scored_requests": 5507, | |
| "index_raw": 0.6784, | |
| "index_skill": 0.5338, | |
| "coverage": 1.0, | |
| "chance": 0.3101, | |
| "in_index": true | |
| }, | |
| "59": { | |
| "catalog_id": 59, | |
| "dataset": "RAGTruth response-level hallucination", | |
| "requests": 2700, | |
| "answered": 2700, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "metric": "F1 on hallucinated class", | |
| "score": 0.6336, | |
| "median_ms": 77.1, | |
| "scored_requests": 2700, | |
| "index_raw": 0.6336, | |
| "index_skill": 0.3776, | |
| "coverage": 1.0, | |
| "chance": 0.4113, | |
| "in_index": true | |
| }, | |
| "61": { | |
| "catalog_id": 61, | |
| "dataset": "HoVer claim verification", | |
| "requests": 4000, | |
| "answered": 4000, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "metric": "accuracy", | |
| "score": 0.6565, | |
| "median_ms": 45.6, | |
| "scored_requests": 4000, | |
| "index_raw": 0.6565, | |
| "index_skill": 0.313, | |
| "coverage": 1.0, | |
| "chance": 0.5, | |
| "in_index": true | |
| }, | |
| "62": { | |
| "catalog_id": 62, | |
| "dataset": "When2Call MCQ", | |
| "requests": 3652, | |
| "answered": 3652, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "metric": "accuracy", | |
| "score": 0.6451, | |
| "median_ms": 79.8, | |
| "scored_requests": 3652, | |
| "index_raw": 0.6451, | |
| "index_skill": 0.5268, | |
| "coverage": 1.0, | |
| "chance": 0.25, | |
| "in_index": true | |
| }, | |
| "64": { | |
| "catalog_id": 64, | |
| "dataset": "New Yorker caption matching", | |
| "requests": 528, | |
| "answered": 528, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "metric": "accuracy", | |
| "score": 0.625, | |
| "median_ms": 25.2, | |
| "scored_requests": 528, | |
| "index_raw": 0.625, | |
| "index_skill": 0.5312, | |
| "coverage": 1.0, | |
| "chance": 0.2, | |
| "in_index": true | |
| } | |
| }, | |
| "panel_id": "decision-index-0.2", | |
| "note": "Decision Index 0.2 averages 40 benchmarks in five equal-weight areas: each area is the plain mean of its benchmarks and the index is 100 x the mean of the five areas. Each benchmark is chance-corrected first, (score - chance) / (1 - chance) clipped to 0-1, so 0 means random guessing and 100 means perfect. Every score is coverage-adjusted, so an unanswered or unsupported request counts as wrong. ForecastBench enters against its baseline: clip((0.25 - Brier) / 0.25) x coverage, so always predicting 0.5 scores zero. MMLU, ARC-Easy, ARC-Challenge, SimpleBench stay on the board as non-index benchmarks. The six interactive environments are still unrun and stay out. Every entrant on the board has results on all 40 index benchmarks. Point estimates only, no uncertainty intervals yet.", | |
| "local_run": { | |
| "kit_commit": "19ad28ec9485493cc4f7fc07d91c178f948e6434", | |
| "evaluated": "2026-09-25", | |
| "note": "Scored locally with the official kit; not a leaderboard submission or result. Requests shared with 0.1 reuse this model's 0.1 predictions; the added requests ran with the same frozen evaluation setup at temperature 1.0. No leaderboard-style exposure penalty is applied: known training exposure (see the model card) stays in these scores.", | |
| "without_mmlu_pro": 42.84, | |
| "screening": [ | |
| { | |
| "stage": "MiMo", | |
| "rows": 123195, | |
| "matched": 180, | |
| "by_source": { | |
| "MMLU-Pro": 0, | |
| "SuperGPQA": 176, | |
| "BoolQ": 3, | |
| "MedMCQA": 1 | |
| } | |
| } | |
| ], | |
| "timing_note": "latency_ms and every benchmark's median_ms are each request's share of batched inference time, allocated by prompt tokens. They are not serial-request or HTTP-serving latency and shouldn't be used for serving-latency comparisons." | |
| } | |
| } |