Image-Text-to-Text
MLX
Safetensors
English
Chinese
minimax_m3_vl
jang
janght
quantized
apple-silicon
minimax
minimax_m3
Mixture of Experts
reasoning
thinking
agent
tool-use
vision
speculative-decoding
dspark
128gb
conversational
custom_code
Instructions to use OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9") config = load_config("OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9 with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9 with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Download evaluation/kl_vs_source_heldout.json from OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9: direct link, hf CLI and curl.
- Browser
- Download file 11.6 kB
-
https://huggingface.co/OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9/resolve/main/evaluation/kl_vs_source_heldout.json
- Command line
-
hf download hf://OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9/evaluation/kl_vs_source_heldout.json
-
curl -L -o kl_vs_source_heldout.json https://huggingface.co/OsaurusAI/MiniMax-M3.1-Flash-JANGHT1.9/resolve/main/evaluation/kl_vs_source_heldout.json
11.6 kB
| { | |
| "what": "End-to-end fidelity of this bundle (as shipped) against the source model MiniMaxAI/MiniMax-M3.1-Flash, teacher-forced on held-out conversations never used for calibration (290 rows, 456,954 scored positions).", | |
| "source": "MiniMaxAI/MiniMax-M3.1-Flash", | |
| "source_revision": "262ae6830934f3512211081b8a3f16425b93a239", | |
| "reference": "the source model at its release precision (NVFP4 experts, MXFP8 trunk, BF16 rest), run layer by layer; its top-128 log-probs saved per position", | |
| "kl": "KL(source || bundle) over the source's top-128 tokens + one tail bucket (a lower bound of the full-vocabulary KL; tail_mass = the source's mean probability outside its top-128). top-k: the source's argmax is in the bundle's top k.", | |
| "subsets": { | |
| "asst": "assistant-written tokens (what the model generates)", | |
| "all": "every scored position, incl. system prompts, tool schemas, tool results, user text and raw documents" | |
| }, | |
| "by_ref_top1_note": "bucketed by the source's top-1 probability, over ALL positions (not assistant-only)", | |
| "nll_note": "mean per-row negative log-likelihood of the held-out text, nats / token, bundle vs source", | |
| "domains": { | |
| "agentic": { | |
| "all": { | |
| "n": 86482, | |
| "kl_mean": 1.508469820022583, | |
| "kl_median": 0.0983579158782959, | |
| "kl_p90": 5.2097625732421875, | |
| "kl_p99": 16.28428161621094, | |
| "kl_p999": 23.14310354423523, | |
| "kl_max": 38.00580596923828, | |
| "top1": 0.6668324044309799, | |
| "top5": 0.8107814342869036, | |
| "top10": 0.835063943942092, | |
| "tail_mass": 0.15552498400211334 | |
| }, | |
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| "kl_median": 0.02191738970577717, | |
| "kl_p90": 0.3034159988164902, | |
| "kl_p99": 1.5784737825393673, | |
| "kl_p999": 4.44348054647445, | |
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| "top1": 0.8881289262020783, | |
| "top5": 0.993042916691129, | |
| "top10": 0.9971525861562849, | |
| "tail_mass": 0.0009966259822249413 | |
| } | |
| }, | |
| "coding": { | |
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| "kl_p99": 2.407493257522581, | |
| "kl_p999": 6.208026328086806, | |
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| "top10": 0.9958940754411795, | |
| "tail_mass": 0.001385890762321651 | |
| } | |
| }, | |
| "encyclopedic": { | |
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| "kl_p99": 14.101272535324075, | |
| "kl_p999": 20.763636550903083, | |
| "kl_max": 31.98396873474121, | |
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| "top10": 0.8318758198513336, | |
| "tail_mass": 0.1176367849111557 | |
| }, | |
| "asst": { | |
| "n": 0 | |
| } | |
| }, | |
| "long": { | |
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| "n": 46820, | |
| "kl_mean": 3.208937883377075, | |
| "kl_median": 0.8069904148578644, | |
| "kl_p90": 11.4564621925354, | |
| "kl_p99": 19.34959836959837, | |
| "kl_p999": 25.232344348907393, | |
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| "top5": 0.6649935924818454, | |
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| }, | |
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| "kl_p999": 3.2352663674354565, | |
| "kl_max": 3.256012201309204, | |
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| "top10": 1.0, | |
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| } | |
| }, | |
| "multilingual": { | |
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| "kl_p90": 2.781315851211549, | |
| "kl_p99": 9.240150108337406, | |
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| "kl_p90": 2.12237434387207, | |
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| } | |
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| }, | |
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| "tail_mass": 0.002803773619234562 | |
| }, | |
| "0.99-1.00": { | |
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| "kl_median": 5.802925807074644e-05, | |
| "kl_p90": 0.014083804842084643, | |
| "kl_p99": 10.446070938110468, | |
| "kl_p999": 20.292349637985204, | |
| "kl_max": 33.77354049682617, | |
| "top1": 0.9755484118127155, | |
| "top5": 0.984309675699985, | |
| "top10": 0.9857587820843813, | |
| "tail_mass": 7.347401697188616e-05 | |
| } | |
| }, | |
| "nll": { | |
| "bundle": 5.6645501831482195, | |
| "ref": 5.437649767152195, | |
| "per_domain": { | |
| "agentic": { | |
| "bundle": 7.0839002597622756, | |
| "ref": 6.959710650327729 | |
| }, | |
| "coding": { | |
| "bundle": 4.480246908810674, | |
| "ref": 4.402180228914533 | |
| }, | |
| "encyclopedic": { | |
| "bundle": 5.958136944543748, | |
| "ref": 5.174985454196022 | |
| }, | |
| "long": { | |
| "bundle": 7.821170926094055, | |
| "ref": 7.309172034263611 | |
| }, | |
| "multilingual": { | |
| "bundle": 6.909620495729668, | |
| "ref": 6.60997364964596 | |
| }, | |
| "reasoning": { | |
| "bundle": 4.902472792731391, | |
| "ref": 4.809402494960361 | |
| }, | |
| "science": { | |
| "bundle": 5.188926813395127, | |
| "ref": 4.909698082053143 | |
| }, | |
| "story": { | |
| "bundle": 5.00568154335022, | |
| "ref": 4.70310302734375 | |
| }, | |
| "terminal": { | |
| "bundle": 5.92402221262455, | |
| "ref": 5.867275953292847 | |
| } | |
| } | |
| } | |
| } |