reserve validation slots before downloading, to stop competitors front-running our downloads

The download queue (/adminApi/async/task/model-download-task) is readable by ANY
account, including low-privilege xc-Token ones, so our WAITING model ids leak.
Competitors submit those via mechanism B (which needs no download), their task
waits for the file, and once our zhoushasha download lands it runs and wins the
slot - leaving us with 60028 on our own download.

New flow:
  phase 1 (reserve, instant): bi150 via zero-credit accounts that have no bi150
    task yet, hygon via zhoukaile - both mechanism B, no download required
  phase 2 (download): zhoushasha downloads only the models we reserved

Startup now filters out accounts that already hold a bi150 task, which also makes
the rotation cursor idempotent across redeploys.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

main.py

@@ -15,7 +15,7 @@ import signal
 import threading
 from datetime import datetime
 from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
-from typing import Set
+from typing import List, Set, Tuple
 
 import requests
 
@@ -34,12 +34,145 @@ USER_ACCOUNT  = "zhoushasha@4paradigm.com"
 USER_PASSWORD = "ganshenme0"
 
 # 通过 curl -X POST https://modelhub.org.cn/adminApi/user/login 获取后填入（登录失败时的回退）
-AUTH_TOKEN = "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3ODg3NTE1NzYsImlhdCI6MTc4ODE0Njc3Nn0._tPW9hFKBcpiYP-G7B8fhtTiJO369HPI7_r62AvGAvA"
+AUTH_TOKEN = "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyQWNjb3VudCI6Inpob3VzaGFzaGEiLCJpZCI6MTQsInVzZXJSb2xlIjoibGVhZGVyYm9hcmQiLCJleHAiOjE3OTAxNDU2NDYsImlhdCI6MTc4OTU0MDg0Nn0.PY0e46UY9YDvl_PNvn9Zv-WyvkaTbYngScbwyw-cWMg"
 
-# hygon_k100-ai 验证任务改走机制B（xc-Token），提交账号 = 账号A，不再用 zhoushasha 提交
+# hygon_k100-ai 验证任务走机制B（xc-Token），固定用 l11223344 提交
-# TODO: 填入账号A的真实 xc-Token 后再部署
+HYGON_SUBMIT_ACCOUNT = "zhoukaile"
-HYGON_SUBMIT_ACCOUNT = "l11223344"
+HYGON_XC_TOKEN        = "bd7c52f3b9604ef48a14dd6174513935"
-HYGON_XC_TOKEN        = "e1c0db2959e5411f9342c8550b03f6e9"
+
+# ── bi150（Iluvatar_bi-150）验证任务也走机制B ──────────────────
+# 规则：下面这批账号每个只提交 1 个模型（按顺序，一人一个）；
+#       这批用完之后，剩下所有模型统一回退到 HYGON_SUBMIT_ACCOUNT(l11223344) 提交。
+BI150_ACCOUNTS: List[Tuple[str, str]] = [
+    ("albawal",  "08bcbd26b39b4bbe856fb5b60731d672"),
+    ("bea888",   "4767e245a01d42d98466305291bc76f1"),
+    ("bs888",    "7865098998894071839cf02e39b4738f"),
+    ("craigros", "4d2f41fc16a14c11ae25b1b151104f28"),
+    ("dij11",    "aca3bd47d7874f86a0f2621c0cf630c3"),
+    ("elc77",    "856e9a9e54c04f6fadb2aa67d2d14f3f"),
+    ("gp520",    "f6074e5fc90b43f7a4d787792762c305"),
+    ("iqm77",    "819bb77dfe9241608862c616fc8828e5"),
+    ("joel789",  "e202331e8e124c398010a9cbe27d7cd1"),
+    ("marc999",  "355c240bf32b473baf202b5fda8732ed"),
+    ("nd456",    "cf9c13c5e8a24ed497bc1f3cd78d2f5f"),
+    ("nedtar",   "bedfeab8e9424d599a100d70feef903c"),
+    ("od77",     "32a3181b2a3d4de7bb92dc76c8dc467d"),
+    ("ojn520",   "197383c8ea6249048e0f602b31faed38"),
+    ("olz007",   "e38d0af8696d40e5a45cacc80338e165"),
+    ("pam777",   "111ef72e7ed74a6ebaa9e6fae2690d05"),
+    ("pamtro",   "c542eb2f294b49ea8c0a95a55c1552f3"),
+    ("pamviv",   "ed434bc7f6b5494ca42be41d091001b6"),
+    ("philmit",  "cc8f8b7c9ce24a91bd4d7b8a3e1453ff"),
+    ("po789",    "fb6a8f738e544408864a3d31549e400a"),
+    ("qju777",   "28e4883ac5c543679b1223991332d0bd"),
+    ("rex168",   "8678a4fe87e447bd9292b2be5c6bf9fe"),
+    ("sarapat",  "37e148f0c96f45b09e37ceafeef41dfd"),
+    ("sd520",    "0ef0dfecfc2c4defa9fc34ac138bf9ec"),
+    ("shawviv",  "9a05bd584cfc4377bda04fb2dd318812"),
+    ("sy123",    "37293844c827482c88127d95a4e96345"),
+    ("ta33",     "ebee8e64845649b2a4c46a57bdea0c65"),
+    ("tate8976", "ad4632ed2c8548d4ba52e18e9af0eaf0"),
+    ("vince666", "08274bff89a9472eb69aa99a02b07bca"),
+    ("war168",   "1dcc7dc9a640476d9afab85b48fb7828"),
+    ("xi2026",   "ad52aba444764dca98c7200be8a39dbe"),
+    ("xi22",     "7737dcc3186a48348e73e2801ac94243"),
+    ("xj8976",   "542d08a17a6844ae91a223d084240cae"),
+    ("yg789",    "c7abd6da77cb40ca82ee89b74d54b2ee"),
+]
+
+# 待占位的 bi150 账号队列（启动时由 _init_bi150_queue 过滤后填充）。
+# 只保留「还没有任何 bi150 任务」的零积分账号——每个账号占到 1 个就够了。
+# 注意：游标只在「提交成功」后才推进（见 _commit_bi150_account）。
+# 因为模型可能已被别人抢先注册（60028）或提交失败，若失败也消耗名额，
+# 稀缺的账号额度会被无效尝试白白吃掉；失败时保留名额给下一个模型继续用。
+_bi150_pending: List[Tuple[str, str]] = []   # 启动时填充，用剩下的排在前面
+_bi150_used = 0
+_bi150_lock = threading.Lock()
+
+TASK_PAGE_ENDPOINT = "/api/adapt/task/page"
+# 账号额度打满时平台返回的提示片段（错误码 60007）
+QUOTA_FULL_MSG     = "当前等待中或运行中的异步模型验证任务数量已达上限"
+_hygon_quota_full  = False   # zhoukaile 额度是否已打满
+GPU_TYPE_HYGON     = "hygon_k100-ai"
+GPU_TYPE_BI150     = "Iluvatar_bi-150"
+
+
+def _account_has_bi150(xc_token: str) -> bool:
+    """查这个账号名下是否已经有 Iluvatar_bi-150 的任务（任何状态都算）。"""
+    try:
+        page = 1
+        while page <= 30:
+            resp = requests.get(
+                BASE_URL + TASK_PAGE_ENDPOINT,
+                params={"pageNum": page, "pageSize": 100},
+                headers={"xc-Token": xc_token},
+                timeout=25,
+            )
+            data = (resp.json() or {}).get("data") or {}
+            records = data.get("records") or []
+            for rec in records:
+                if rec.get("gpuType") == GPU_TYPE_BI150:
+                    return True
+            try:
+                pages = int(data.get("pages") or 1)
+            except Exception:
+                pages = 1
+            if page >= pages or not records:
+                break
+            page += 1
+    except Exception as e:
+        # 查不到就保守当作「已占过」，避免把额度浪费在状态不明的账号上
+        print(f"⚠️ 查询账号 bi150 任务失败，跳过该账号: {e}", flush=True)
+        return True
+    return False
+
+
+def _init_bi150_queue() -> None:
+    """
+    启动时筛掉已经有 bi150 任务的账号，只把「还没占过位」的排进队列。
+    这样重新部署也不会重复消耗已经成功的账号（游标本身是进程内内存变量）。
+    """
+    global _bi150_pending
+    usable, skipped = [], []
+    for acct, tok in BI150_ACCOUNTS:
+        if _account_has_bi150(tok):
+            skipped.append(acct)
+        else:
+            usable.append((acct, tok))
+    _bi150_pending = usable
+    _state["bi150_usable"] = len(usable)
+    print(f"[init] bi150 账号筛查：可用 {len(usable)} 个，已有任务跳过 {len(skipped)} 个", flush=True)
+    if skipped:
+        print(f"[init] 跳过的账号: {', '.join(skipped)}", flush=True)
+    if usable:
+        print(f"[init] 待占位账号: {', '.join(a for a, _ in usable)}", flush=True)
+
+
+def _peek_bi150_account() -> Tuple[str, str, bool]:
+    """
+    查看当前该用哪个 bi150 账号，但**不推进**游标。
+    返回 (账号, xc-Token, 是否取自待占位队列)；
+    队列用完后返回 (None, None, False)，表示 bi150 占位已全部完成、无需再提交。
+    """
+    with _bi150_lock:
+        if _bi150_used < len(_bi150_pending):
+            acct, tok = _bi150_pending[_bi150_used]
+            return acct, tok, True
+    return "", "", False
+
+
+def _commit_bi150_account() -> None:
+    """提交成功后调用，推进游标，让这个账号的名额真正被用掉。"""
+    global _bi150_used
+    with _bi150_lock:
+        if _bi150_used < len(_bi150_pending):
+            _bi150_used += 1
+
+
+def _bi150_done() -> bool:
+    """所有待占位账号是否都已占到位。"""
+    with _bi150_lock:
+        return _bi150_used >= len(_bi150_pending)
 
 CONTEST_API_TOKEN = "ef1ef82f3c9efee413d602345fbe224d"
 HF_TOKEN          = "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"
@@ -387,305 +520,310 @@ ALL_MODEL_IDS = [
     # "mradermacher/InfiniteBuRP_7B-GGUF",
     # "mradermacher/OpenChat-3.5-7B-Solar-GGUF",
     
-    "mradermacher/Qra-1b-GGUF",
+    # "mradermacher/Qra-1b-GGUF",
-    "mradermacher/Qra-7b-GGUF",
+    # "mradermacher/Qra-7b-GGUF",
-    "mradermacher/Nusantara-4b-Indo-Chat-GGUF",
+    # "mradermacher/Nusantara-4b-Indo-Chat-GGUF",
-    "mradermacher/Thespis-Balanced-7b-v1-GGUF",
+    # "mradermacher/Thespis-Balanced-7b-v1-GGUF",
-    "mradermacher/Experiment28Experiment26-7B-GGUF",
+    # "mradermacher/Experiment28Experiment26-7B-GGUF",
-    "mradermacher/CalmeInex12-7B-GGUF",
+    # "mradermacher/CalmeInex12-7B-GGUF",
-    "mradermacher/Lelanta-lake-7b-GGUF",
+    # "mradermacher/Lelanta-lake-7b-GGUF",
-    "mradermacher/Inex12Yamshadow-7B-GGUF",
+    # "mradermacher/Inex12Yamshadow-7B-GGUF",
-    "mradermacher/mistral-7b-zephyr-sft-GGUF",
+    # "mradermacher/mistral-7b-zephyr-sft-GGUF",
-    "mradermacher/flammen9-mistral-7B-GGUF",
+    # "mradermacher/flammen9-mistral-7B-GGUF",
-    "mradermacher/NeuralExperiment26-7B-GGUF",
+    # "mradermacher/NeuralExperiment26-7B-GGUF",
-    "mradermacher/flammen9X-mistral-7B-GGUF",
+    # "mradermacher/flammen9X-mistral-7B-GGUF",
-    "mradermacher/Cloudversia-Thor-7B-GGUF",
+    # "mradermacher/Cloudversia-Thor-7B-GGUF",
-    "mradermacher/supermario_v4-GGUF",
+    # "mradermacher/supermario_v4-GGUF",
-    "mradermacher/XuanYuan-6B-GGUF",
+    # "mradermacher/XuanYuan-6B-GGUF",
-    "mradermacher/NeuralsirkrishnaInex12-7B-GGUF",
+    # "mradermacher/NeuralsirkrishnaInex12-7B-GGUF",
-    "mradermacher/Swahili-Mistral-Instruct-v2-GGUF",
+    # "mradermacher/Swahili-Mistral-Instruct-v2-GGUF",
-    "mradermacher/Prima-LelantaclesV7-experimentalv2-7b-GGUF",
+    # "mradermacher/Prima-LelantaclesV7-experimentalv2-7b-GGUF",
-    "mradermacher/HarmBench-Mistral-7b-val-cls-GGUF",
+    # "mradermacher/HarmBench-Mistral-7b-val-cls-GGUF",
-    "mradermacher/merlin1.4-GGUF",
+    # "mradermacher/merlin1.4-GGUF",
-    "mradermacher/merlin1.5-GGUF",
+    # "mradermacher/merlin1.5-GGUF",
-    "mradermacher/Franken-Mistral-Merlinite-Maid-GGUF",
+    # "mradermacher/Franken-Mistral-Merlinite-Maid-GGUF",
-    "mradermacher/mergekit-della_linear-sxmadrj-GGUF",
+    # "mradermacher/mergekit-della_linear-sxmadrj-GGUF",
-    "mradermacher/FuseChat-Qwen-2.5-7B-Instruct-GGUF",
+    # "mradermacher/FuseChat-Qwen-2.5-7B-Instruct-GGUF",
-    "mradermacher/NeuralsirkrishnaExperiment28-7B-GGUF",
+    # "mradermacher/NeuralsirkrishnaExperiment28-7B-GGUF",
-    "mradermacher/Paradigm_DPO-GGUF",
+    # "mradermacher/Paradigm_DPO-GGUF",
-    "mradermacher/Strangemerges_32Alloyingotneoy-7B-GGUF",
+    # "mradermacher/Strangemerges_32Alloyingotneoy-7B-GGUF",
-    "mradermacher/FuseQwQen-7B-GGUF",
+    # "mradermacher/FuseQwQen-7B-GGUF",
-    "mradermacher/Falcon3-7B-Instruct-abliterated-GGUF",
+    # "mradermacher/Falcon3-7B-Instruct-abliterated-GGUF",
-    "mradermacher/Article-Llama-3.2-1B-GGUF",
+    # "mradermacher/Article-Llama-3.2-1B-GGUF",
-    "mradermacher/Falcon3-10B-Instruct-abliterated-GGUF",
+    # "mradermacher/Falcon3-10B-Instruct-abliterated-GGUF",
-    "mradermacher/AshishGPT-GGUF",
+    # "mradermacher/AshishGPT-GGUF",
-    "mradermacher/FnFLlama-3.1-8B1-GGUF",
+    # "mradermacher/FnFLlama-3.1-8B1-GGUF",
-    "mradermacher/Meta-Llama-3.1-8B-Instruct-TIES-GGUF",
+    # "mradermacher/Meta-Llama-3.1-8B-Instruct-TIES-GGUF",
-    "mradermacher/Llama-2-7b-sft-SPIN-gpt4o-GGUF",
+    # "mradermacher/Llama-2-7b-sft-SPIN-gpt4o-GGUF",
-    "mradermacher/Mistral-7B-v0.1-sft-SPIN-Mistral-8x7B-Instruct-v0.1-GGUF",
+    
-    "mradermacher/TaxoLumimaid-v0.2-8B-GGUF",
+    # "mradermacher/Mistral-7B-v0.1-sft-SPIN-Mistral-8x7B-Instruct-v0.1-GGUF",
-    "mradermacher/Mistral-7B-v0.1-sft-SPIN-gpt4o-GGUF",
+    # "mradermacher/TaxoLumimaid-v0.2-8B-GGUF",
-    "mradermacher/QwenSlerp-7B-GGUF",
+    # "mradermacher/Mistral-7B-v0.1-sft-SPIN-gpt4o-GGUF",
-    "mradermacher/creativestorywriter-GGUF",
+    # "mradermacher/QwenSlerp-7B-GGUF",
-    "mradermacher/therapistAi-GGUF",
+    # "mradermacher/creativestorywriter-GGUF",
-    "mradermacher/MT-Gen5-BMA-gemma-2-9B-GGUF",
+    # "mradermacher/therapistAi-GGUF",
-    "mradermacher/MT-Gen5-GP-gemma-2-S5E-9B-GGUF",
+    # "mradermacher/MT-Gen5-BMA-gemma-2-9B-GGUF",
-    "mradermacher/Cake-GGUF",
+    # "mradermacher/MT-Gen5-GP-gemma-2-S5E-9B-GGUF",
-    "mradermacher/MT-Gen5-IG-gemma-2-9B-GGUF",
+    # "mradermacher/Cake-GGUF",
-    "mradermacher/Qwen2.5-0.5B-Instruct-ThreeFourths-GGUF",
+    # "mradermacher/MT-Gen5-IG-gemma-2-9B-GGUF",
-    "mradermacher/MT-Gen5-IF-gemma-2-MT5g4MT4g2-9B-GGUF",
+    # "mradermacher/Qwen2.5-0.5B-Instruct-ThreeFourths-GGUF",
-    "mradermacher/MT-Gen5-MM-gemma-2-MT4g2MT5g4-9B-GGUF",
+    # "mradermacher/MT-Gen5-IF-gemma-2-MT5g4MT4g2-9B-GGUF",
-    "mradermacher/MT-Gen5-MA-gemma-2-S5MT3g4-9B-GGUF",
+    # "mradermacher/MT-Gen5-MM-gemma-2-MT4g2MT5g4-9B-GGUF",
-    "mradermacher/MT-Gen5-MUMM-gemma-2-9B-GGUF",
+    # "mradermacher/MT-Gen5-MA-gemma-2-S5MT3g4-9B-GGUF",
-    "mradermacher/tongyi-model-v1.2-1b-enth-GGUF",
+    # "mradermacher/MT-Gen5-MUMM-gemma-2-9B-GGUF",
-    "mradermacher/MT-Gen5-MU-gemma-2-MT3g4S5-9B-GGUF",
+    # "mradermacher/tongyi-model-v1.2-1b-enth-GGUF",
-    "mradermacher/tongyi-model-v1.3-1b-GGUF",
+    # "mradermacher/MT-Gen5-MU-gemma-2-MT3g4S5-9B-GGUF",
-    "mradermacher/MT-Gen5-MUMMIG-gemma-2-9B-GGUF",
+    # "mradermacher/tongyi-model-v1.3-1b-GGUF",
-    "mradermacher/MT-Gen5-gemma-2-9B-GGUF",
+    # "mradermacher/MT-Gen5-MUMMIG-gemma-2-9B-GGUF",
-    "mradermacher/L3-ColdBrew-Euclidean-GGUF",
+    # "mradermacher/MT-Gen5-gemma-2-9B-GGUF",
-    "mradermacher/AlloyingotneoyExperiment28-7B-GGUF",
+    # "mradermacher/L3-ColdBrew-Euclidean-GGUF",
-    "mradermacher/SystemHermes-2-7B-GGUF",
+    # "mradermacher/AlloyingotneoyExperiment28-7B-GGUF",
-    "mradermacher/NeuralMaths-7B-slerp-GGUF",
+    # "mradermacher/SystemHermes-2-7B-GGUF",
-    "mradermacher/T3qM7-7B-GGUF",
+    # "mradermacher/NeuralMaths-7B-slerp-GGUF",
-    "mradermacher/MasherAI-2B-v0.1-GGUF",
+    # "mradermacher/T3qM7-7B-GGUF",
-    "mradermacher/ChickaQ-Large-GGUF",
+    # "mradermacher/MasherAI-2B-v0.1-GGUF",
-    "mradermacher/Beast-Mixed-GGUF",
+    # "mradermacher/ChickaQ-Large-GGUF",
-    "mradermacher/Gujju-Llama-Instruct-v0.1-GGUF",
+    # "mradermacher/Beast-Mixed-GGUF",
-    "mradermacher/Beast_Mixed_2_pro-GGUF",
+    # "mradermacher/Gujju-Llama-Instruct-v0.1-GGUF",
-    "mradermacher/AlloyIngotNeoX-GGUF",
+    # "mradermacher/Beast_Mixed_2_pro-GGUF",
-    "mradermacher/Persephone_7B-GGUF",
+    # "mradermacher/AlloyIngotNeoX-GGUF",
-    "mradermacher/KuTrix-7b-GGUF",
+    # "mradermacher/Persephone_7B-GGUF",
-    "mradermacher/SystemHermes-7B-GGUF",
+    # "mradermacher/KuTrix-7b-GGUF",
-    "mradermacher/SystemConfigHermes-7B-GGUF",
+    # "mradermacher/SystemHermes-7B-GGUF",
-    "mradermacher/open-llama-3b-v2-chat-GGUF",
+    # "mradermacher/SystemConfigHermes-7B-GGUF",
-    "mradermacher/phi-2-orange-v2-GGUF",
+    # "mradermacher/open-llama-3b-v2-chat-GGUF",
-    "mradermacher/Phi-Stoma-GGUF",
+    # "mradermacher/phi-2-orange-v2-GGUF",
-    "mradermacher/StrangeMerges_40-7B-dare_ties-GGUF",
+    # "mradermacher/Phi-Stoma-GGUF",
-    "mradermacher/Swahili-Instruct-V2-3-GGUF",
+    # "mradermacher/StrangeMerges_40-7B-dare_ties-GGUF",
-    "mradermacher/T3QM7-GGUF",
+    # "mradermacher/Swahili-Instruct-V2-3-GGUF",
-    "mradermacher/WestKunai-Hermes-7b-GGUF",
+    # "mradermacher/T3QM7-GGUF",
-    "mradermacher/WestKunai-XS-7b-GGUF",
+    # "mradermacher/WestKunai-Hermes-7b-GGUF",
-    "mradermacher/leo-hessianai-7b-finetune-x5-GGUF",
+    # "mradermacher/WestKunai-XS-7b-GGUF",
-    "mradermacher/leo-hessianai-7b-finetune-x6-GGUF",
+    # "mradermacher/leo-hessianai-7b-finetune-x5-GGUF",
-    "mradermacher/leo-hessianai-7b-finetune-x7-GGUF",
+    # "mradermacher/leo-hessianai-7b-finetune-x6-GGUF",
-    "mradermacher/llama-2-7b-guanaco-dolly-mini-GGUF",
+    # "mradermacher/leo-hessianai-7b-finetune-x7-GGUF",
-    "mradermacher/open_llama_3b_v2_chat_dolly-GGUF",
+    # "mradermacher/llama-2-7b-guanaco-dolly-mini-GGUF",
-    "mradermacher/mistral-orpo-beta-NeuralBeagle14-7B-dare-ties-GGUF",
+    # "mradermacher/open_llama_3b_v2_chat_dolly-GGUF",
-    "mradermacher/seallm-7b-v2-chat-th-GGUF",
+    # "mradermacher/mistral-orpo-beta-NeuralBeagle14-7B-dare-ties-GGUF",
-    "mradermacher/tiny-llama-spin-iter2-GGUF",
+    # "mradermacher/seallm-7b-v2-chat-th-GGUF",
-    "mradermacher/StrangeMerges_30-7B-slerp-GGUF",
+    # "mradermacher/tiny-llama-spin-iter2-GGUF",
-    "mradermacher/StrangeMerges_41-7B-dare_ties-GGUF",
+    # "mradermacher/StrangeMerges_30-7B-slerp-GGUF",
-    "mradermacher/Wiedervereinigung-7b-dpo-laser-GGUF",
+    # "mradermacher/StrangeMerges_41-7B-dare_ties-GGUF",
-    "mradermacher/alpaca-gpt4-GGUF",
+    # "mradermacher/Wiedervereinigung-7b-dpo-laser-GGUF",
-    "mradermacher/deepseek-coder-6.7b-pandas-GGUF",
+    # "mradermacher/alpaca-gpt4-GGUF",
-    "mradermacher/Phi-Delthanar-GGUF",
+    # "mradermacher/deepseek-coder-6.7b-pandas-GGUF",
-    "mradermacher/ds-trinity-7b-v1-GGUF",
+    # "mradermacher/Phi-Delthanar-GGUF",
-    "mradermacher/flintlock_3B_v0.1-GGUF",
+    # "mradermacher/ds-trinity-7b-v1-GGUF",
-    "mradermacher/flintlock_3B_v0.1a-GGUF",
+    # "mradermacher/flintlock_3B_v0.1-GGUF",
-    "mradermacher/gemma-Kannada-Instruct-GGUF",
+    # "mradermacher/flintlock_3B_v0.1a-GGUF",
-    "mradermacher/gemma-Kannada-Instruct-v01-GGUF",
+    # "mradermacher/gemma-Kannada-Instruct-GGUF",
-    "mradermacher/TheMayonnaise-GGUF",
+    # "mradermacher/gemma-Kannada-Instruct-v01-GGUF",
-    "mradermacher/hermeo-7b-laser-GGUF",
+    # "mradermacher/TheMayonnaise-GGUF",
-    "mradermacher/Eris_Prime-V2-7B-GGUF",
+    # "mradermacher/hermeo-7b-laser-GGUF",
-    "mradermacher/Elly_7B-GGUF",
+    # "mradermacher/Eris_Prime-V2-7B-GGUF",
-    "mradermacher/Saul-Instruct-Extended-GGUF",
+    # "mradermacher/Elly_7B-GGUF",
-    "mradermacher/winter-garden-7b-gamma-GGUF",
+    # "mradermacher/Saul-Instruct-Extended-GGUF",
-    "mradermacher/Mayonnaise-4in1-03-GGUF",
+    # "mradermacher/winter-garden-7b-gamma-GGUF",
-    "mradermacher/SriRamanatestM-GGUF",
+    # "mradermacher/Mayonnaise-4in1-03-GGUF",
-    "mradermacher/open-llama-3b-v2-instruct-GGUF",
+    # "mradermacher/SriRamanatestM-GGUF",
-    "mradermacher/Mayonnaise-4in1-01-GGUF",
+    # "mradermacher/open-llama-3b-v2-instruct-GGUF",
-    "mradermacher/Franken-MistressMaid-7B-v2-GGUF",
+    # "mradermacher/Mayonnaise-4in1-01-GGUF",
-    "mradermacher/Strangemerges_32Yamshadow-7B-GGUF",
+    # "mradermacher/Franken-MistressMaid-7B-v2-GGUF",
-    "mradermacher/llama-2-7b-Sri-Lankan-Law-GGUF",
+    # "mradermacher/Strangemerges_32Yamshadow-7B-GGUF",
-    "mradermacher/Commencis-LLM-GGUF",
+    # "mradermacher/llama-2-7b-Sri-Lankan-Law-GGUF",
-    "mradermacher/gemma-coder-GGUF",
+    # "mradermacher/Commencis-LLM-GGUF",
-    "mradermacher/ShadowYamshadow-7B-GGUF",
+    # "mradermacher/gemma-coder-GGUF",
-    "mradermacher/Einstein-4d-Marcoro14-nddmpk-KrishnaHercules-7b-slerp-GGUF",
+    # "mradermacher/ShadowYamshadow-7B-GGUF",
-    "mradermacher/Mystical-dare7-7b-GGUF",
+    # "mradermacher/Einstein-4d-Marcoro14-nddmpk-KrishnaHercules-7b-slerp-GGUF",
-    "mradermacher/NeuralCeptrix-7B-SLERP-GGUF",
+    # "mradermacher/Mystical-dare7-7b-GGUF",
-    "mradermacher/NeuralCeptrix-7B-SLERPv3-GGUF",
+    # "mradermacher/NeuralCeptrix-7B-SLERP-GGUF",
-    "mradermacher/PearlMath-lafted-7b-slerp-GGUF",
+    # "mradermacher/NeuralCeptrix-7B-SLERPv3-GGUF",
-    "mradermacher/Genisis-GGUF",
+    # "mradermacher/PearlMath-lafted-7b-slerp-GGUF",
-    "mradermacher/PearlMathMstralPro-7b-slerp-GGUF",
+    # "mradermacher/Genisis-GGUF",
-    "mradermacher/Einstein-4d-Marcoro14-nddmpk-KrishnaHercules-7b-slerp-fix1-GGUF",
+    # "mradermacher/PearlMathMstralPro-7b-slerp-GGUF",
-    "mradermacher/Greek_to_English_Translation-GGUF",
+    # "mradermacher/Einstein-4d-Marcoro14-nddmpk-KrishnaHercules-7b-slerp-fix1-GGUF",
-    "mradermacher/Swallow-MS-7b-v0.1-ChatVector-GGUF",
+    # "mradermacher/Greek_to_English_Translation-GGUF",
-    "mradermacher/MistralDpoPearl-7b-slerp-GGUF",
+    # "mradermacher/Swallow-MS-7b-v0.1-ChatVector-GGUF",
-    "mradermacher/ChatMusician-Base-GGUF",
+    # "mradermacher/MistralDpoPearl-7b-slerp-GGUF",
-    "mradermacher/Flora_7B-laser-GGUF",
+    # "mradermacher/ChatMusician-Base-GGUF",
-    "mradermacher/EvoLLM-JP-A-v1-7B-GGUF",
+    # "mradermacher/Flora_7B-laser-GGUF",
-    "mradermacher/EvoLLM-JP-v1-7B-GGUF",
+    # "mradermacher/EvoLLM-JP-A-v1-7B-GGUF",
-    "mradermacher/kukulemon-7B-GGUF",
+    # "mradermacher/EvoLLM-JP-v1-7B-GGUF",
-    "mradermacher/TinyJ.O.S.I.E.-3x1.1B-32k-Base-GGUF",
+    # "mradermacher/kukulemon-7B-GGUF",
-    "mradermacher/Mystical-dare5-7b-GGUF",
+    # "mradermacher/TinyJ.O.S.I.E.-3x1.1B-32k-Base-GGUF",
-    "mradermacher/Patent-Instruct-LLaMA-Pro-GGUF",
+    # "mradermacher/Mystical-dare5-7b-GGUF",
-    "mradermacher/K2S3-Mistral-7b-v1.0-GGUF",
+    # "mradermacher/Patent-Instruct-LLaMA-Pro-GGUF",
-    "mradermacher/NeuralCeptrix-7B-SLERPv2-GGUF",
+    # "mradermacher/K2S3-Mistral-7b-v1.0-GGUF",
-    "mradermacher/RasGulla1-7b-GGUF",
+    # "mradermacher/NeuralCeptrix-7B-SLERPv2-GGUF",
-    "mradermacher/MasherAI-7B-v4-GGUF",
+    # "mradermacher/RasGulla1-7b-GGUF",
-    "mradermacher/KnowCoder-7B-IE-GGUF",
+    # "mradermacher/MasherAI-7B-v4-GGUF",
-    "mradermacher/KnowCoder-7B-base-GGUF",
+    # "mradermacher/KnowCoder-7B-IE-GGUF",
-    "mradermacher/ALMA-7B-R-remerged-GGUF",
+    # "mradermacher/KnowCoder-7B-base-GGUF",
-    "mradermacher/Beast-Mixed_3_pro-GGUF",
+    # "mradermacher/ALMA-7B-R-remerged-GGUF",
-    "mradermacher/Ministral-4b-instruct-GGUF",
+    # "mradermacher/Beast-Mixed_3_pro-GGUF",
-    "mradermacher/GOOD-4x1b-GGUF",
+    # "mradermacher/Ministral-4b-instruct-GGUF",
-    "mradermacher/Medictron-0.5B-Chat-GGUF",
+    # "mradermacher/GOOD-4x1b-GGUF",
-    "mradermacher/Pearl-7B-0211-ties-GGUF",
+    # "mradermacher/Medictron-0.5B-Chat-GGUF",
-    "mradermacher/NeuralsirkrishnaM7-7B-GGUF",
+    # "mradermacher/Pearl-7B-0211-ties-GGUF",
-    "mradermacher/Patent-Instruct-Pro-GGUF",
+    # "mradermacher/NeuralsirkrishnaM7-7B-GGUF",
-    "mradermacher/TheSpice-7b-v0.1.1-GGUF",
+    # "mradermacher/Patent-Instruct-Pro-GGUF",
-    "mradermacher/Louis_GRC-7B-slerp-M1-GGUF",
+    # "mradermacher/TheSpice-7b-v0.1.1-GGUF",
-    "mradermacher/MiniLLM-0.2B-WithWudao-GGUF",
+    # "mradermacher/Louis_GRC-7B-slerp-M1-GGUF",
-    "mradermacher/MiniLLM-0.2B-WithWudao-SFT_Alpaca-GGUF",
+    # "mradermacher/MiniLLM-0.2B-WithWudao-GGUF",
-    "mradermacher/FinguAI-Chat-v1-GGUF",
+    # "mradermacher/MiniLLM-0.2B-WithWudao-SFT_Alpaca-GGUF",
-    "mradermacher/macaroni-7b-GGUF",
+    # "mradermacher/FinguAI-Chat-v1-GGUF",
-    "mradermacher/AlphaMonarch-daser-GGUF",
+    # "mradermacher/macaroni-7b-GGUF",
-    "mradermacher/M7Alloyingotneoy-7B-GGUF",
+    # "mradermacher/AlphaMonarch-daser-GGUF",
-    "mradermacher/Strangemerges_32Shadow-7B-GGUF",
+    # "mradermacher/M7Alloyingotneoy-7B-GGUF",
-    "mradermacher/GarrulusMarcoro-7B-v0.1-GGUF",
+    
-    "mradermacher/Macaroni-7b-Tied-GGUF",
+    
-    "mradermacher/Matter-0.1-7B-DPO-preview-GGUF",
+    # "mradermacher/Strangemerges_32Shadow-7B-GGUF",
-    "mradermacher/Mistral7BInstructv0.2-RakutenAI7Bchat-GGUF",
+    # "mradermacher/GarrulusMarcoro-7B-v0.1-GGUF",
-    "mradermacher/Pegasus-7b-slerp-GGUF",
+    # "mradermacher/Macaroni-7b-Tied-GGUF",
-    "mradermacher/NeuralDareDMistralPro-7b-slerp-GGUF",
+    # "mradermacher/Matter-0.1-7B-DPO-preview-GGUF",
-    "mradermacher/QuizBot.AI-base-GGUF",
+    # "mradermacher/Mistral7BInstructv0.2-RakutenAI7Bchat-GGUF",
-    "mradermacher/Asherah_7B-GGUF",
+    # "mradermacher/Pegasus-7b-slerp-GGUF",
-    "mradermacher/sabre-2B-GGUF",
+    # "mradermacher/NeuralDareDMistralPro-7b-slerp-GGUF",
-    "mradermacher/tinyllama-coder-color-en-v0.1-GGUF",
+    # "mradermacher/QuizBot.AI-base-GGUF",
-    "mradermacher/tinyllama-color-coder-v1-GGUF",
+    # "mradermacher/Asherah_7B-GGUF",
-    "mradermacher/tinyllama-fake-news-detector-v1-GGUF",
+    # "mradermacher/sabre-2B-GGUF",
-    "mradermacher/tinyllama-fr-aya-1.5T-v0.1-GGUF",
+    # "mradermacher/tinyllama-coder-color-en-v0.1-GGUF",
-    "mradermacher/tinyllama-hate-speech-detector-en-1.5T-v0.1-GGUF",
+    # "mradermacher/tinyllama-color-coder-v1-GGUF",
-    "mradermacher/tinyllama-hate-speech-detector-v1-GGUF",
+    # "mradermacher/tinyllama-fake-news-detector-v1-GGUF",
-    "mradermacher/tinyllama-onomatopoeia-ja-v1-GGUF",
+    # "mradermacher/tinyllama-fr-aya-1.5T-v0.1-GGUF",
-    "mradermacher/tinyllama-sentiment-analyzer-v1-GGUF",
+    # "mradermacher/tinyllama-hate-speech-detector-en-1.5T-v0.1-GGUF",
-    "mradermacher/tinyllama-sql-coder-v1-GGUF",
+    # "mradermacher/tinyllama-hate-speech-detector-v1-GGUF",
-    "mradermacher/DaturaCookie_7B-GGUF",
+    # "mradermacher/tinyllama-onomatopoeia-ja-v1-GGUF",
-    "mradermacher/K2S3-Mistral-7b-v1.1-GGUF",
+    # "mradermacher/tinyllama-sentiment-analyzer-v1-GGUF",
-    "mradermacher/mistral-orpo-mix-GGUF",
+    # "mradermacher/tinyllama-sql-coder-v1-GGUF",
-    "mradermacher/NeuralMergeTest-001-GGUF",
+    # "mradermacher/DaturaCookie_7B-GGUF",
-    "mradermacher/NeuralSirKrishna-Spanish-FT-GGUF",
+    # "mradermacher/K2S3-Mistral-7b-v1.1-GGUF",
-    "mradermacher/T3qm7xStrangemerges_32-7B-GGUF",
+    # "mradermacher/mistral-orpo-mix-GGUF",
-    "mradermacher/flammen10-mistral-7B-GGUF",
+    # "mradermacher/NeuralMergeTest-001-GGUF",
-    "mradermacher/flammen11-mistral-7B-GGUF",
+    # "mradermacher/NeuralSirKrishna-Spanish-FT-GGUF",
-    "mradermacher/climategpt-7b-fsc-GGUF",
+    # "mradermacher/T3qm7xStrangemerges_32-7B-GGUF",
-    "mradermacher/m.star.7b-GGUF",
+    # "mradermacher/flammen10-mistral-7B-GGUF",
-    "mradermacher/J.O.S.I.E.3-Beta8-slerp-GGUF",
+    # "mradermacher/flammen11-mistral-7B-GGUF",
-    "mradermacher/climategpt-7b-fsg-GGUF",
+    # "mradermacher/climategpt-7b-fsc-GGUF",
-    "mradermacher/Mistral-7B-v0.1-coco-caption-de-GGUF",
+    # "mradermacher/m.star.7b-GGUF",
-    "mradermacher/MistralCode-7B-Instruct-v0.2-slerp-GGUF",
+    # "mradermacher/J.O.S.I.E.3-Beta8-slerp-GGUF",
-    "mradermacher/Mocha-Sample-7b-ex-GGUF",
+    # "mradermacher/climategpt-7b-fsg-GGUF",
-    "mradermacher/T3QM7X-GGUF",
+    # "mradermacher/Mistral-7B-v0.1-coco-caption-de-GGUF",
-    "mradermacher/bruphin-iota-GGUF",
+    # "mradermacher/MistralCode-7B-Instruct-v0.2-slerp-GGUF",
-    "mradermacher/gemma-ko-en-translate-v0.4-GGUF",
+    # "mradermacher/Mocha-Sample-7b-ex-GGUF",
-    "mradermacher/Follex-7B-V2-GGUF",
+    # "mradermacher/T3QM7X-GGUF",
-    "mradermacher/speculor-2.7b-GGUF",
+    # "mradermacher/bruphin-iota-GGUF",
-    "mradermacher/CS221-xlm-roberta-base-finetuned-semeval-GGUF",
+    # "mradermacher/gemma-ko-en-translate-v0.4-GGUF",
-    "mradermacher/mamba-765M-chinese-chat-v0.1-GGUF",
+    # "mradermacher/Follex-7B-V2-GGUF",
-    "mradermacher/Brian-Llama-3.2-3B-GGUF",
+    # "mradermacher/speculor-2.7b-GGUF",
-    "mradermacher/ING_Triomphant_M2_SLERP-GGUF",
+    # "mradermacher/CS221-xlm-roberta-base-finetuned-semeval-GGUF",
-    "mradermacher/Zephyr_beta_32k_7B-GGUF",
+    # "mradermacher/mamba-765M-chinese-chat-v0.1-GGUF",
-    "mradermacher/Mistral-7B-v0.3-sft-SPIN-self-GGUF",
+    # "mradermacher/Brian-Llama-3.2-3B-GGUF",
-    "mradermacher/Follex-7B-GGUF",
+    # "mradermacher/ING_Triomphant_M2_SLERP-GGUF",
-    "mradermacher/R4L-Math-v0.1-GGUF",
+    # "mradermacher/Zephyr_beta_32k_7B-GGUF",
-    "mradermacher/Qwen2.5-3B-TTKH-python-0.3-GGUF",
+    # "mradermacher/Mistral-7B-v0.3-sft-SPIN-self-GGUF",
-    "mradermacher/J.O.S.I.E.3-Beta3-slerp-GGUF",
+    # "mradermacher/Follex-7B-GGUF",
-    "mradermacher/Llama-3.1-8B-sft-SPIN-self-GGUF",
+    # "mradermacher/R4L-Math-v0.1-GGUF",
-    "mradermacher/SmolLM2-FT-BG-GGUF",
+    # "mradermacher/Qwen2.5-3B-TTKH-python-0.3-GGUF",
-    "mradermacher/star-sft-intellect-1-GGUF",
+    # "mradermacher/J.O.S.I.E.3-Beta3-slerp-GGUF",
-    "mradermacher/wiroai-turkish-llm-9b-GGUF",
+    # "mradermacher/Llama-3.1-8B-sft-SPIN-self-GGUF",
-    "mradermacher/iq-code-evmind-0.5b-GGUF",
+    # "mradermacher/SmolLM2-FT-BG-GGUF",
-    "mradermacher/iq-code-evmind-7b-GGUF",
+    # "mradermacher/star-sft-intellect-1-GGUF",
-    "mradermacher/waka-qwq-GGUF",
+    # "mradermacher/wiroai-turkish-llm-9b-GGUF",
-    "mradermacher/tongyi-model-v1.3-1b-enth-GGUF",
+    # "mradermacher/iq-code-evmind-0.5b-GGUF",
-    "mradermacher/KangalKhan-Beta-Ruby-7B-GGUF",
+    # "mradermacher/iq-code-evmind-7b-GGUF",
-    "mradermacher/Calliope-7b-GGUF",
+    # "mradermacher/waka-qwq-GGUF",
-    "mradermacher/Falcon3Slerp4-10B-GGUF",
+    # "mradermacher/tongyi-model-v1.3-1b-enth-GGUF",
-    "mradermacher/Lugha-Llama-8B-wura-GGUF",
+    # "mradermacher/KangalKhan-Beta-Ruby-7B-GGUF",
-    "mradermacher/FalconSlerp3-10B-GGUF",
+    # "mradermacher/Calliope-7b-GGUF",
-    "mradermacher/Karasu-1.1b-task1357-vector-GGUF",
+    # "mradermacher/Falcon3Slerp4-10B-GGUF",
-    "mradermacher/bruphin-kappa-GGUF",
+    # "mradermacher/Lugha-Llama-8B-wura-GGUF",
-    "mradermacher/Nexus-IKM-Hermes-2-Pro-Mistral-7B-GGUF",
+    # "mradermacher/FalconSlerp3-10B-GGUF",
-    "mradermacher/StarMix-7B-slerp-GGUF",
+    # "mradermacher/Karasu-1.1b-task1357-vector-GGUF",
-    "mradermacher/KangalKhan-Beta-Sapphire-7B-GGUF",
+    # "mradermacher/bruphin-kappa-GGUF",
-    "mradermacher/UltraCatunaMayo-DPO-GGUF",
+    # "mradermacher/Nexus-IKM-Hermes-2-Pro-Mistral-7B-GGUF",
-    "mradermacher/KangalKhan-PressurizedRuby-7B-GGUF",
+    # "mradermacher/StarMix-7B-slerp-GGUF",
-    "mradermacher/lion-zephyr-7b-GGUF",
+    # "mradermacher/KangalKhan-Beta-Sapphire-7B-GGUF",
-    "mradermacher/mamba-1.4b-hf-lima-GGUF",
+    # "mradermacher/UltraCatunaMayo-DPO-GGUF",
-    "mradermacher/Mixtral_Base-GGUF",
+    # "mradermacher/KangalKhan-PressurizedRuby-7B-GGUF",
-    "mradermacher/StrangeMerges_44-7B-dare_ties-GGUF",
+    # "mradermacher/lion-zephyr-7b-GGUF",
-    "mradermacher/Mixtral_Chat-GGUF",
+    # "mradermacher/mamba-1.4b-hf-lima-GGUF",
-    "mradermacher/Pearl-7B-slerp-GGUF",
+    # "mradermacher/Mixtral_Base-GGUF",
-    "mradermacher/flammen13-mistral-7B-GGUF",
+    # "mradermacher/StrangeMerges_44-7B-dare_ties-GGUF",
-    "mradermacher/AlloyingotneoyNeuralsirkrishna-7B-GGUF",
+    # "mradermacher/Mixtral_Chat-GGUF",
-    "mradermacher/flammen12-mistral-7B-GGUF",
+    # "mradermacher/Pearl-7B-slerp-GGUF",
-    "mradermacher/MiniLLM-0.2B-NoWudao-GGUF",
+    # "mradermacher/flammen13-mistral-7B-GGUF",
-    "mradermacher/baarat-hindi-instruct-0.1-GGUF",
+    # "mradermacher/AlloyingotneoyNeuralsirkrishna-7B-GGUF",
-    "mradermacher/swallow-hermes-st-v1-GGUF",
+    # "mradermacher/flammen12-mistral-7B-GGUF",
-    "mradermacher/Mistral-7B-Instruct-demi-merge-v0.2-7B-GGUF",
+    # "mradermacher/MiniLLM-0.2B-NoWudao-GGUF",
-    "mradermacher/TinyJensen-1.1B-Chat-GGUF",
+    # "mradermacher/baarat-hindi-instruct-0.1-GGUF",
-    "mradermacher/Ak4ri-rp-7b-GGUF",
+    # "mradermacher/swallow-hermes-st-v1-GGUF",
-    "mradermacher/Samlagast-7B-bf16-GGUF",
+    # "mradermacher/Mistral-7B-Instruct-demi-merge-v0.2-7B-GGUF",
-    "mradermacher/MKLLM-7B-Translate-GGUF",
+    # "mradermacher/TinyJensen-1.1B-Chat-GGUF",
-    "mradermacher/ScikitLLM-Model-GGUF",
+    # "mradermacher/Ak4ri-rp-7b-GGUF",
-    "mradermacher/phi-2-DLEC-GGUF",
+    # "mradermacher/Samlagast-7B-bf16-GGUF",
-    "mradermacher/Eris_PrimeV4-Vision-7B-GGUF",
+    # "mradermacher/MKLLM-7B-Translate-GGUF",
-    "mradermacher/saul-zephyr-7b-slerp-GGUF",
+    # "mradermacher/ScikitLLM-Model-GGUF",
-    "mradermacher/YamshadowInex12_YamshadowExperiment28-GGUF",
+    # "mradermacher/phi-2-DLEC-GGUF",
-    "mradermacher/Experiment26Yam_Experiment27Yam-GGUF",
+    # "mradermacher/Eris_PrimeV4-Vision-7B-GGUF",
-    "mradermacher/NeuralsirkrishnaShadow_Inex12Strangemerges_32-GGUF",
+    # "mradermacher/saul-zephyr-7b-slerp-GGUF",
-    "mradermacher/VerwaltungsAnthologie_clear_simbad_7B-GGUF",
+    # "mradermacher/YamshadowInex12_YamshadowExperiment28-GGUF",
-    "mradermacher/Llama-3-8B-Instruct-DADA-GGUF",
+    # "mradermacher/Experiment26Yam_Experiment27Yam-GGUF",
-    "mradermacher/M7Yamshadowexperiment28_T3qT3qm7-GGUF",
+    # "mradermacher/NeuralsirkrishnaShadow_Inex12Strangemerges_32-GGUF",
-    "mradermacher/Strangemerges_32M7-7B-GGUF",
+    # "mradermacher/VerwaltungsAnthologie_clear_simbad_7B-GGUF",
-    "mradermacher/Experiment28T3q_Multi_verse_modelM7-GGUF",
+    # "mradermacher/Llama-3-8B-Instruct-DADA-GGUF",
-    "mradermacher/gemma-2b-f16-telugu-base-GGUF",
+    # "mradermacher/M7Yamshadowexperiment28_T3qT3qm7-GGUF",
-    "mradermacher/ScaleDown-7B-slerp-v0.1-GGUF",
+    # "mradermacher/Strangemerges_32M7-7B-GGUF",
-    "mradermacher/GEITje-7B-ultra-GGUF",
+    # "mradermacher/Experiment28T3q_Multi_verse_modelM7-GGUF",
-    "mradermacher/ShadowStrangemerges_32-7B-GGUF",
+    # "mradermacher/gemma-2b-f16-telugu-base-GGUF",
-    "mradermacher/M7Yamshadowexperiment28_Inex16Calme-GGUF",
+    # "mradermacher/ScaleDown-7B-slerp-v0.1-GGUF",
-    "mradermacher/TinyLlama-1.1B-chat-dare-v1-GGUF",
+    # "mradermacher/GEITje-7B-ultra-GGUF",
-    "mradermacher/RuBit-LLama-63M-GGUF",
+    # "mradermacher/ShadowStrangemerges_32-7B-GGUF",
-    "mradermacher/Blitz-AI-DARE-v0.1-GGUF",
+    # "mradermacher/M7Yamshadowexperiment28_Inex16Calme-GGUF",
-    "mradermacher/StrangeMerges_43-7B-dare_ties-GGUF",
+    # "mradermacher/TinyLlama-1.1B-chat-dare-v1-GGUF",
-    "mradermacher/T3qm7xNeuralsirkrishna_Multi_verse_modelM7-GGUF",
+    # "mradermacher/RuBit-LLama-63M-GGUF",
-    "mradermacher/Panoramix-7B-Instruct-v0.2-GGUF",
+    # "mradermacher/Blitz-AI-DARE-v0.1-GGUF",
-    "mradermacher/NeuralKrishnaMath-7B-slerp-GGUF",
+    # "mradermacher/StrangeMerges_43-7B-dare_ties-GGUF",
-    "mradermacher/NeuralsynthesisCalmexperiment-7B-GGUF",
+    # "mradermacher/T3qm7xNeuralsirkrishna_Multi_verse_modelM7-GGUF",
-    "mradermacher/T3qm7Shadow-7B-GGUF",
+    # "mradermacher/Panoramix-7B-Instruct-v0.2-GGUF",
-    "mradermacher/Juliet-Chat-mini-GGUF",
+    # "mradermacher/NeuralKrishnaMath-7B-slerp-GGUF",
-    "mradermacher/MeliodasPercival_01_YamStrangemerges_32-GGUF",
+    # "mradermacher/NeuralsynthesisCalmexperiment-7B-GGUF",
-    "mradermacher/ErisepBeagleNuBuRPInfinWestLakev2-IreneRP-Neural-7B-slerp-GGUF",
+    # "mradermacher/T3qm7Shadow-7B-GGUF",
-    "mradermacher/Experiment26Yam_YamExperiment24-GGUF",
+    # "mradermacher/Juliet-Chat-mini-GGUF",
-    "mradermacher/Experiment28M7_NeuralsirkrishnaExperiment26-GGUF",
+    # "mradermacher/MeliodasPercival_01_YamStrangemerges_32-GGUF",
-    "mradermacher/Humanised-LLMv2-GGUF",
+    # "mradermacher/ErisepBeagleNuBuRPInfinWestLakev2-IreneRP-Neural-7B-slerp-GGUF",
-    "mradermacher/Experiment26Neuralsirkrishna_YamPastiche-GGUF",
+    # "mradermacher/Experiment26Yam_YamExperiment24-GGUF",
-    "mradermacher/EXALT-Baseline-GGUF",
+    # "mradermacher/Experiment28M7_NeuralsirkrishnaExperiment26-GGUF",
-    "mradermacher/NeuralsirkrishnaShadow_Ognoexperiment27M7-GGUF",
+    # "mradermacher/Humanised-LLMv2-GGUF",
-    "mradermacher/Meta-Llama-3-8B-Instruct_fictional_Korean_v1-GGUF",
+    # "mradermacher/Experiment26Neuralsirkrishna_YamPastiche-GGUF",
-    "mradermacher/flammen20-mistral-7B-GGUF",
+    # "mradermacher/EXALT-Baseline-GGUF",
-    "mradermacher/sec-mistral-7b-instruct-v2-GGUF",
+    # "mradermacher/NeuralsirkrishnaShadow_Ognoexperiment27M7-GGUF",
-    "mradermacher/phillama-3.8b-v0.1-GGUF",
+    # "mradermacher/Meta-Llama-3-8B-Instruct_fictional_Korean_v1-GGUF",
-    "mradermacher/YamshadowStrangemerges_32_YamStrangemerges_32-GGUF",
+    # "mradermacher/flammen20-mistral-7B-GGUF",
-    "mradermacher/T3qm7xNeuralsirkrishna_Experiment31Experiment29-GGUF",
+    # "mradermacher/sec-mistral-7b-instruct-v2-GGUF",
-    "mradermacher/Llama-2-7b-chat-hf_fictional_v2-GGUF",
+    # "mradermacher/phillama-3.8b-v0.1-GGUF",
-    "mradermacher/SmartLlama-3-8B-MS-v0.1-GGUF",
+    # "mradermacher/YamshadowStrangemerges_32_YamStrangemerges_32-GGUF",
-    "mradermacher/NeuralsynthesisT3qm7-7B-GGUF",
+    # "mradermacher/T3qm7xNeuralsirkrishna_Experiment31Experiment29-GGUF",
-    "mradermacher/ClickbaitFighter-2B-GGUF",
+    # "mradermacher/Llama-2-7b-chat-hf_fictional_v2-GGUF",
-    "mradermacher/Alphacode-MALI-9B-GGUF",
+    # "mradermacher/SmartLlama-3-8B-MS-v0.1-GGUF",
-    "mradermacher/MeliodasPercival_01_Experiment26Experiment28-GGUF",
+    # "mradermacher/NeuralsynthesisT3qm7-7B-GGUF",
-    "mradermacher/Wukong-Mistral-7B-v0.3-GGUF",
+    # "mradermacher/ClickbaitFighter-2B-GGUF",
-    "mradermacher/YamshadowStrangemerges_32_Inex16Calme-GGUF",
+    # "mradermacher/Alphacode-MALI-9B-GGUF",
-    "mradermacher/YamT3qm7xp_ShadowOgno-GGUF",
+    # "mradermacher/MeliodasPercival_01_Experiment26Experiment28-GGUF",
-    "mradermacher/Ludwig_Orca_Orient-GGUF",
+    # "mradermacher/Wukong-Mistral-7B-v0.3-GGUF",
-    "mradermacher/CosMoE-Lisa-4x1b-GGUF",
+    # "mradermacher/YamshadowStrangemerges_32_Inex16Calme-GGUF",
-    "mradermacher/Experiment26T3qm7xp_Experiment26Strangemerges_30-GGUF",
+    # "mradermacher/YamT3qm7xp_ShadowOgno-GGUF",
-    "mradermacher/OpenThaiGPT-100-instruct-finetuned-GGUF",
+    # "mradermacher/Ludwig_Orca_Orient-GGUF",
-    "mradermacher/M7Yamshadowexperiment28_Experiment27Experiment24-GGUF",
+    # "mradermacher/CosMoE-Lisa-4x1b-GGUF",
-    "mradermacher/Experiment28M7_Experiment26Yamshadow-GGUF",
+    # "mradermacher/Experiment26T3qm7xp_Experiment26Strangemerges_30-GGUF",
-    "mradermacher/T3qm7xNeuralsirkrishna_Experiment27Experiment28-GGUF",
+    # "mradermacher/OpenThaiGPT-100-instruct-finetuned-GGUF",
-    "mradermacher/YamshadowInex12_YamT3qm7x-GGUF",
+    # "mradermacher/M7Yamshadowexperiment28_Experiment27Experiment24-GGUF",
-    "mradermacher/T3Q-Mistral-UB-DPO-v1.0-GGUF",
+    # "mradermacher/Experiment28M7_Experiment26Yamshadow-GGUF",
+    # "mradermacher/T3qm7xNeuralsirkrishna_Experiment27Experiment28-GGUF",
+    # "mradermacher/YamshadowInex12_YamT3qm7x-GGUF",
+    # "mradermacher/T3Q-Mistral-UB-DPO-v1.0-GGUF",
+    
+    
     "mradermacher/selfbiorag-7b-dpo-full-sft-wo-kqa_silver_wogold-GGUF",
     "mradermacher/NeuralKukedlc-7B-Labonned-GGUF",
     "mradermacher/Calme-7B-Instruct-v0.9-GGUF",
@@ -2347,13 +2485,16 @@ HEADERS = {"Content-Type": "application/json"}
 # ══════════════════════════════════════════════════════════
 _state = {
     "strategy_id":       STRATEGY_ID,
-    "phase":             "starting",   # starting | running | done | error
+    "phase":             "starting",   # starting | reserving | downloading | done | error
     "total":             len(ALL_MODEL_IDS),
     "downloading":       [],           # 当前正在下载的模型
     "download_success":  0,
     "download_failed":   0,
     "submitted":         0,            # 成功提交的验证任务数（hygon + bi150）
     "submit_failed":     0,
+    "bi150_usable":      0,            # 启动筛查后仍可占位的零积分账号数
+    "reserved_bi150":    0,            # 阶段一 bi150 占位成功数
+    "reserved_hygon":    0,            # 阶段一 hygon 占位成功数
     "started_at":        None,
     "finished_at":       None,
 }
@@ -2556,7 +2697,14 @@ ref_config:
                 print(f"✅ 测试任务提交成功! {model_id}", flush=True)
                 return True
             else:
-                print(f"❌ 测试任务业务错误: {result.get('message')}", flush=True)
+                msg = str(result.get("message") or "")
+                if QUOTA_FULL_MSG in msg:
+                    # zhoukaile 额度打满，置位后占位阶段不再尝试 hygon
+                    global _hygon_quota_full
+                    _hygon_quota_full = True
+                    print(f"⛔ hygon 提交账号额度已满，后续跳过 hygon 占位: {msg}", flush=True)
+                else:
+                    print(f"❌ 测试任务业务错误: {msg}", flush=True)
                 return False
         else:
             print(f"❌ 测试任务 HTTP 错误: {resp.status_code} - {resp.text}", flush=True)
@@ -2568,10 +2716,12 @@ ref_config:
 # ══════════════════════════════════════════════════════════
 #  提交单个模型的测试任务 bi150
 # ══════════════════════════════════════════════════════════
-def submit_test_task_bi150(token: str, model_id: str) -> bool:
+def submit_test_task_bi150(model_id: str) -> bool:
-    auth_headers = {**HEADERS, "Authorization": f"Bearer {token}"}
+    # 队列里所有零积分账号都已占到位就不再提交——每个账号占 1 个即达成目标
+    if _bi150_done():
+        return False
     model_filename = get_model_filename(model_id)
-    gpu_type = "Iluvatar_bi-150"
+    gpu_type = GPU_TYPE_BI150
     config_content = f"""docker_image: git.modelhub.org.cn:9443/enginex-iluvatar/iluvatar-llama.cpp:b7516-bi150
 nv_docker_image: harbor-contest.4pd.io/luxinlong02/llama-cpp:b7003-cuda-full-12.3
 framework: llamacpp
@@ -2589,36 +2739,36 @@ ref_config:
   values:
     command: ['/workspace/llama.cpp/build/bin/llama-server','--model', '/model/{model_filename}', '--alias', 'llm', '--threads', '20','--n-gpu-layers','128', '--ctx-size', '4096', '--host', '0.0.0.0', '--port', '8000', '--jinja', '--flash-attn', 'off']
 """
-    task_data = {
+    account, xc_token, from_list = _peek_bi150_account()
-        "contestApiToken": CONTEST_API_TOKEN,
+    headers = {"Content-Type": "application/json", "xc-Token": xc_token}
-        "contributors": CONTRIBUTORS,
+    payload = {
-        "gpuTypes": [gpu_type],
+        "configParams": config_content,
+        "framework": "llamacpp",
+        "modelAddress": f"https://huggingface.co/{model_id}",
+        "targetGpu": gpu_type,
         "taskType": TASK_TYPE,
-        "modelId": model_id,
+        "strategyId": STRATEGY_ID,   # 平台要求；若接口不支持该字段会被忽略
-        "strategyId": STRATEGY_ID,   # 平台要求
-        "submissionConfig": [{
-            "config": config_content,
-            "gpuType": gpu_type,
-            "taskType": TASK_TYPE
-        }]
     }
-    print(f"📤 提交测试任务 (bi150): {model_id}", flush=True)
+    print(f"📤 提交测试任务 (bi150, 机制B, 账号={account}): {model_id}", flush=True)
     try:
-        resp = requests.post(BASE_URL + SUBMIT_TEST_TASK_ENDPOINT, json=task_data, headers=auth_headers, timeout=15)
+        resp = requests.post(BASE_URL + ADD_TASK_ENDPOINT, headers=headers, json=payload, timeout=30)
         if resp.status_code == 200:
             result = resp.json()
             if result.get("code") == 0:
-                task_id = result.get("data", {}).get("taskId")
+                # 只有真正提交成功才消耗这个账号的名额
-                print(f"✅ 测试任务提交成功! Task ID: {task_id}", flush=True)
+                if from_list:
+                    _commit_bi150_account()
+                print(f"✅ 测试任务提交成功! {model_id} (账号={account})", flush=True)
                 return True
             else:
-                print(f"❌ 测试任务业务错误: {result.get('message')}", flush=True)
+                # 失败不推进游标，名额留给下一个模型继续用这个账号
+                print(f"❌ 测试任务业务错误 (账号={account}): {result.get('message')}", flush=True)
                 return False
         else:
-            print(f"❌ 测试任务 HTTP 错误: {resp.status_code} - {resp.text}", flush=True)
+            print(f"❌ 测试任务 HTTP 错误 (账号={account}): {resp.status_code} - {resp.text}", flush=True)
             return False
     except Exception as e:
-        print(f"💥 提交测试任务异常 ({model_id}): {e}", flush=True)
+        print(f"💥 提交测试任务异常 ({model_id}, 账号={account}): {e}", flush=True)
         return False
 
 # ══════════════════════════════════════════════════════════
@@ -2635,11 +2785,71 @@ def _run_worker():
         _state["phase"] = "error"
         return
 
-    pending_models = list(ALL_MODEL_IDS)   # 尚未开始下载的模型
+    # ══════════════════════════════════════════════════════
-    active_models: Set[str] = set()        # 当前正在下载的模型
+    #  阶段一：占位（机制B，瞬间完成，不受下载队列制约）
-    completed_results = {}                 # model_id -> status
+    #
+    #  背景：下载队列 /adminApi/async/task/model-download-task 的【读取】对
+    #  所有账号开放（连最低权限的 xc-Token 小号都能翻），所以我方 WAITING 中
+    #  的模型ID 会暴露给所有人。对手看到后用机制B抢先占位——机制B不要求模型
+    #  已下载，任务会挂着等文件；等我方 zhoushasha 把模型下载完，他的任务立刻
+    #  开跑并验证成功，我方反而因「一个模型一张卡只能一个账号」而撞 60028。
+    #
+    #  对策：把提交挪到下载【之前】。先占位再下载，下载队列即使被爬也没用。
+    #  触发的 adminProxy 代下载很慢无所谓——我方自己的下载会先完成。
+    # ══════════════════════════════════════════════════════
+    _state["phase"] = "reserving"
+    _init_bi150_queue()
 
-    print(f"🚀 总共 {len(pending_models)} 个模型待下载。最大并发数: {MAX_CONCURRENT_DOWNLOADS}\n", flush=True)
+    reserved_models = []          # 占位成功、需要下载的模型（按占位顺序）
+
+    print(f"\n🔒 阶段一：占位（bi150 待占位账号 {len(_bi150_pending)} 个）\n", flush=True)
+    for model_id in ALL_MODEL_IDS:
+        if _shutdown.is_set():
+            break
+        if _bi150_done() and _hygon_quota_full:
+            print("🔒 bi150 占位已全部完成，且 hygon 额度已满，占位阶段结束", flush=True)
+            break
+
+        got = False
+
+        # bi150：用还没有 bi150 任务的零积分账号逐个占位
+        if not _bi150_done():
+            if submit_test_task_bi150(model_id):
+                _state["submitted"] += 1
+                _state["reserved_bi150"] += 1
+                got = True
+            else:
+                _state["submit_failed"] += 1
+
+        # hygon：固定用 zhoukaile（同样是机制B）占位
+        if not _hygon_quota_full:
+            if submit_test_task(model_id):
+                _state["submitted"] += 1
+                _state["reserved_hygon"] += 1
+                got = True
+            else:
+                _state["submit_failed"] += 1
+
+        if got:
+            reserved_models.append(model_id)
+
+    print(
+        f"\n🔒 占位阶段完成：bi150={_state['reserved_bi150']}  "
+        f"hygon={_state['reserved_hygon']}  "
+        f"待下载模型={len(reserved_models)}\n",
+        flush=True,
+    )
+
+    # ══════════════════════════════════════════════════════
+    #  阶段二：下载（机制A，zhoushasha，8 并发）
+    #  只下载已经占到位的模型——这些位置已经是我方的，下载完即可开跑验证
+    # ══════════════════════════════════════════════════════
+    _state["phase"] = "downloading"
+    pending_models = list(reserved_models)  # 尚未开始下载的模型
+    active_models: Set[str] = set()         # 当前正在下载的模型
+    completed_results = {}                  # model_id -> status
+
+    print(f"🚀 阶段二：下载 {len(pending_models)} 个已占位模型。最大并发数: {MAX_CONCURRENT_DOWNLOADS}\n", flush=True)
 
     while (pending_models or active_models) and not _shutdown.is_set():
         # 1. 检查活跃任务状态
@@ -2653,20 +2863,8 @@ def _run_worker():
                 print(f"⏹️  {model_id} 完成，状态: {status}", flush=True)
                 if status == "SUCCESS":
                     _state["download_success"] += 1
-                    # 下载成功后立即提交该模型的验证任务
+                    # 验证任务已在阶段一占位完成，下载落地后平台会自动开跑，这里无需再提交
-                    if submit_test_task(model_id):
+                    print(f"🎯 {model_id} 下载完成，已占位的验证任务可以开跑了", flush=True)
-                        _state["submitted"] += 1
-                        print(f"🧪 已为 {model_id} 提交 hygon 验证任务", flush=True)
-                    else:
-                        _state["submit_failed"] += 1
-                        print(f"⚠️ {model_id} hygon 验证任务提交失败", flush=True)
-
-                    # if submit_test_task_bi150(token, model_id):
-                    #     _state["submitted"] += 1
-                    #     print(f"🧪 已为 {model_id} 提交 bi150 验证任务", flush=True)
-                    # else:
-                    #     _state["submit_failed"] += 1
-                    #     print(f"⚠️ {model_id} bi150 验证任务提交失败", flush=True)
                 else:
                     _state["download_failed"] += 1