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modrill/MT11-HIGH-L45
MT11-HIGH-L45 is a machine learning model from modrill. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
这是 HIGHHEAVYL45 的未合并动态 LoRA 发布件:LoRA rank r=64、alpha=128,base 与 adapter 分离,未 merge、未 bake。请勿把本仓库当作完整基础模型。
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From the Hugging Face model README
这是 HIGH_HEAVY_L45 的未合并动态 LoRA 发布件:LoRA rank r=64、alpha=128,base 与 adapter 分离,未 merge、未 bake。请勿把本仓库当作完整基础模型。
Qwen/Qwen3-4B-Base/workspace/MATH-NOTHINK-AIME-P1-v1.0/model/mn8_eos_r1_2/Qwen3-4B-Base-906bfd4906bfd4b4dc7f14ee4320094d8b41684abff8539b7dc3d5cef56c5ed8e03e9c54bde781b560897151e6b6fadc55ed40a22feaaa20144c9767921f51f37167784380029c01fc83caf5c5b54e803671bfc3c432bdf628a5b4c40584c524479b80773166f49b5c49d7223b34d4cf254064d6b65bd29MT11 标准合同为 Think + EvalScope reviews + dynamic LoRA + 32K:AIME24+AIME25 共 60 题,temperature 0.6、top_p 0.95、top_k 20,输出上限为 32768 - exact_prompt_tokens - 64,统计以题目为 cluster,不把 240 个采样视为 240 道独立题。
34/24034/24068/480(14.167%)状态为 ASSET_FROZEN_PROVENANCE_SCHEMA_MISSING。缺失的是训练当时 SHA256 为 1819b4a0abf92ac070cf8bb84a47b4a7b8e72a537df2bee81687ae8f1a31a527 的 schema 字节副本;现环境 schema 只能作为环境快照,不能冒充训练时副本。adapter 字节、adapter config/COMMIT 绑定及两组历史评测已独立核验,但不保证精确重训复现。
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base_id = "Qwen/Qwen3-4B-Base"
base_revision = "906bfd4b4dc7f14ee4320094d8b41684abff8539"
adapter_id = "modrill/MT11-HIGH-L45"
revision = "v1.0.0"
tokenizer = AutoTokenizer.from_pretrained(base_id, revision=base_revision)
base = AutoModelForCausalLM.from_pretrained(base_id, revision=base_revision, torch_dtype="auto", device_map="auto")
model = PeftModel.from_pretrained(base, adapter_id, revision=revision) # dynamic, unmerged
本发布不包含训练数据、原始 responses、trainer state 或 optimizer。现有冻结证据未授权为该 adapter 编造或新增独立许可证,因此本仓库不声明新的 adapter license。使用者必须自行核对并遵守基础模型、训练数据来源及适用数据/竞赛内容条款;评测结果不构成许可授权。
This is the unmerged dynamic LoRA release of HIGH_HEAVY_L45 (r=64, alpha=128). The base and adapter stay separate; nothing is merged or baked.
The exact base is Qwen/Qwen3-4B-Base at revision 906bfd4b4dc7f14ee4320094d8b41684abff8539 (training path and hashes are listed above). Use that revision's tokenizer. The adapter SHA256 is 628a5b4c40584c524479b80773166f49b5c49d7223b34d4cf254064d6b65bd29.
Under the MT11 Think / EvalScope / dynamic 32K contract, seeds 42–45 scored 34/240, fresh seeds 46–49 scored 34/240, and the combined block scored 68/480. Fresh health: 35.000% cap, 62.917% decoded-complete-box, 65.000% natural stop. Combined health: 36.458%, 62.708%, and 63.542%, respectively.
Provenance status is ASSET_FROZEN_PROVENANCE_SCHEMA_MISSING: the training-time schema byte copy is missing. The available current-environment schema is not represented as the historical training schema. Adapter bytes and evaluation evidence were verified, but exact retraining reproducibility is not guaranteed.
No training data, raw responses, trainer state, optimizer state, or secrets are included. Existing project evidence does not establish a new standalone license for this adapter, so none is invented here. Users must review and comply with the base-model and applicable data/source terms.