MiMo-V2.5-Pro is a large language model released by Xiaomi, released under the mit license, with a claimed knowledge cutoff of 2026-04-22. Its weights, configuration, and tokenizer files have been cryptographically hashed and are queued for on-chain attestation by Weight Registry.
Description
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....
Metadata
Hugging Face stats
22,401 downloads on Hugging Face · 758 likes · pipeline: text-generation · library: transformers
Weight Hashes
Weights file
SHA-256a36ff96456dcfe306589b11aeda9becb9cbe1889843dd57b75fed4a759e3286c
SHA3-256f7340e2df5f6a7dd9a44c238ac427c1acde959201a825b498fad54eddbe09e14
BLAKE382d5f288c5006dbd20a4dcbbb882d683d3061f27f8a017ce31dfa0fb5f0318d6
Config file
SHA-2567e11c6cd358a841d5ac016fc80c030cad14d418ee125e9bde1eb6d0757b635d6
SHA3-25672e7fe1b8a07983657a0fa8a83b0185c75d8406f0cf7efdb1969753236341f1d
BLAKE3ebc8e940f7ca7e34ce19ec5395cc0a87b5672ab1b740be28bafdf1f5b92fd96b
Tokenizer file
SHA-256cdd40b08814d626d2ab1eb36c7ca66521a96bce4d478cf1375a4d45fe03e1cf9
SHA3-256c66640b5486e96dfcb593cc4f60e93bf6e03416a5d92035cc9aa07e4262e7cc7
BLAKE3228a25fe7ec37d426946359c579c6240b8e1a41d1b23948228d3f10bf0955f8c
Verify it yourself
Download the file(s) from the source below, then hash them locally (sha256sum <file> on Linux/macOS, certutil -hashfile <file> SHA256 on Windows) and compare the output against the hash(es) shown above.
Anomalies Flagged
- multiple unrecognized .safetensors candidates, none canonical or variant-tagged: ['model_mtp.safetensors', 'model_pp0_ep0_shard0.safetensors', 'model_pp0_ep0_shard1.safetensors', 'model_pp0_ep10_shard0.safetensors', 'model_pp0_ep11_shard0.safetensors', 'model_pp0_ep12_shard0.safetensors', 'model_pp0_ep13_shard0.safetensors', 'model_pp0_ep14_shard0.safetensors', 'model_pp0_ep15_shard0.safetensors', 'model_pp0_ep16_shard0.safetensors', 'model_pp0_ep17_shard0.safetensors', 'model_pp0_ep18_shard0.safetensors', 'model_pp0_ep19_shard0.safetensors', 'model_pp0_ep1_shard0.safetensors', 'model_pp0_ep20_shard0.safetensors', 'model_pp0_ep21_shard0.safetensors', 'model_pp0_ep22_shard0.safetensors', 'model_pp0_ep23_shard0.safetensors', 'model_pp0_ep24_shard0.safetensors', 'model_pp0_ep25_shard0.safetensors', 'model_pp0_ep26_shard0.safetensors', 'model_pp0_ep27_shard0.safetensors', 'model_pp0_ep28_shard0.safetensors', 'model_pp0_ep29_shard0.safetensors', 'model_pp0_ep2_shard0.safetensors', 'model_pp0_ep30_shard0.safetensors', 'model_pp0_ep31_shard0.safetensors', 'model_pp0_ep3_shard0.safetensors', 'model_pp0_ep4_shard0.safetensors', 'model_pp0_ep5_shard0.safetensors', 'model_pp0_ep6_shard0.safetensors', 'model_pp0_ep7_shard0.safetensors', 'model_pp0_ep8_shard0.safetensors', 'model_pp0_ep9_shard0.safetensors']. Picked 'model_pp0_ep0_shard0.safetensors', by real file size (largest wins): [('model_pp0_ep0_shard0.safetensors', 34554911640), ('model_pp0_ep9_shard0.safetensors', 31264218696), ('model_pp0_ep31_shard0.safetensors', 31264218696), ('model_pp0_ep30_shard0.safetensors', 31264218696), ('model_pp0_ep29_shard0.safetensors', 31264218696), ('model_pp0_ep28_shard0.safetensors', 31264218696), ('model_pp0_ep27_shard0.safetensors', 31264218696), ('model_pp0_ep26_shard0.safetensors', 31264218696), ('model_pp0_ep25_shard0.safetensors', 31264218696), ('model_pp0_ep24_shard0.safetensors', 31264218696), ('model_pp0_ep23_shard0.safetensors', 31264218696), ('model_pp0_ep22_shard0.safetensors', 31264218696), ('model_pp0_ep21_shard0.safetensors', 31264218696), ('model_pp0_ep20_shard0.safetensors', 31264218696), ('model_pp0_ep19_shard0.safetensors', 31264218696), ('model_pp0_ep18_shard0.safetensors', 31264218696), ('model_pp0_ep17_shard0.safetensors', 31264218696), ('model_pp0_ep16_shard0.safetensors', 31264218696), ('model_pp0_ep15_shard0.safetensors', 31264218696), ('model_pp0_ep14_shard0.safetensors', 31264218696), ('model_pp0_ep13_shard0.safetensors', 31264218696), ('model_pp0_ep12_shard0.safetensors', 31264218696), ('model_pp0_ep11_shard0.safetensors', 31264218696), ('model_pp0_ep10_shard0.safetensors', 31264218696), ('model_pp0_ep8_shard0.safetensors', 31264217040), ('model_pp0_ep7_shard0.safetensors', 31264213728), ('model_pp0_ep6_shard0.safetensors', 31264213728), ('model_pp0_ep5_shard0.safetensors', 31264213728), ('model_pp0_ep4_shard0.safetensors', 31264213728), ('model_pp0_ep3_shard0.safetensors', 31264213728), ('model_pp0_ep2_shard0.safetensors', 31264213728), ('model_pp0_ep1_shard0.safetensors', 31264213728), ('model_pp0_ep0_shard1.safetensors', 27180576088), ('model_mtp.safetensors', 2463641280)] -- VERIFY
- sharding signals disagree: index file present=True, filename pattern matched=False -- picked whichever signal is available, but this repo's layout is unusual
- found model.safetensors.index.json but shard filenames didn't match the expected NNNNN-of-NNNNN pattern -- fell back to sorting all .safetensors files, verify manually