初始化项目，由ModelHub XC社区提供模型
Model: HamnaKaleem/IOL-AI-2026 Source: Original Platform
This commit is contained in:
ModelHub XC
35
.gitattributes
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.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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35
config.json
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 32768,
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"max_window_layers": 70,
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"model_type": "qwen2",
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"num_attention_heads": 40,
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
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"quantization_config": {
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"bits": 4,
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"group_size": 128,
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"modules_to_not_convert": null,
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"quant_method": "awq",
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"version": "gemm",
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"zero_point": true
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},
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sliding_window": 131072,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.41.1",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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14
generation_config.json
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.05,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "4.41.1"
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}
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151387
merges.txt
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merges.txt
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3
model-00001-of-00003.safetensors
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model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e874dc3b1febb5b22fe74a8793066ae430d90cdbc51765d0a4eb44a82a1fbbd
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size 3988804408
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3
model-00002-of-00003.safetensors
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3b25da74cc854cdc726956f8152f1dda8519c7bb7d4724ac12c1312463e61c8
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size 3968309440
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3
model-00003-of-00003.safetensors
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model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:25b97bf28033ed4560387293ce76bd3dc55a22882fea005a10c137b6478dae85
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size 2023056736
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1258
model.safetensors.index.json
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model.safetensors.index.json
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79
script.py
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script.py
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import os
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# The repo is the working directory at run time, and there is no network.
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os.environ["HF_HUB_OFFLINE"] = "1"
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os.environ["TRANSFORMERS_OFFLINE"] = "1"
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MODEL_ID = "."
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import re
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import json
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import pandas as pd
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tok = AutoTokenizer.from_pretrained(MODEL_ID)
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_ID, torch_dtype=torch.float16, device_map="auto"
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).eval()
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MAX_NEW_TOKENS = 1536
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SYSTEM = (
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"You solve International Linguistics Olympiad problems by reasoning from the "
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"data you are given. You may meet a task type you have never seen: read the "
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"instruction and the examples, and answer in the same form they use. "
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"Common task types and what to give -- "
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"translation: the translated form only, in the language the task asks for. "
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"Apply every suffix, prefix, or ending shown in the examples (plurals, cases, "
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"tense, etc.) -- do not give the bare stem if the pattern requires an ending; "
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"fill_blanks: only the missing form for each blank; "
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"match_letters: the option letter ALONE -- for example 'C', never 'word: C' or "
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"any other text around it; "
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"text_to_num: the number in digits; "
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"num_to_text: the number written out in words, in the language asked; "
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"any other type: give exactly what the instruction asks, nothing else. "
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"Reason step by step first. Before you finalize, re-check each answer is in the "
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"minimal bare form the task requires, with no echoed input, no labels, no extra "
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"words attached. Then write a line that says exactly FINAL ANSWERS: "
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"and, below it, one answer per line in the order the items are asked -- the "
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"bare answer only, no numbering, no quotes, no extra text."
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)
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def parse_answers(text, task_type=None):
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"""Keep only the lines after the last 'FINAL ANSWERS:' marker, one answer per line."""
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marker = list(re.finditer(r"(?im)^\s*final answers?\s*:?\s*$", text))
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if marker:
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text = text[marker[-1].end():]
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answers = []
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for line in text.splitlines():
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line = re.sub(r"^\s*\d+[.)]\s*", "", line).strip()
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if line:
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if task_type == "match_letters":
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m = re.search(r"([A-Za-z])\s*$", line)
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if m and (":" in line or len(line) > 3):
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line = m.group(1)
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answers.append(line)
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return answers
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df = pd.read_csv("/tmp/data/test.csv", dtype=str).fillna("")
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rows = []
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for _, r in df.iterrows():
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messages = [
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{"role": "system", "content": SYSTEM},
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{"role": "user", "content": f"{r['context'].strip()}\n\n{r['query'].strip()}"},
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]
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enc = tok.apply_chat_template(
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messages, add_generation_prompt=True, return_tensors="pt", return_dict=True,
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).to(model.device)
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with torch.no_grad():
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out = model.generate(**enc, max_new_tokens=MAX_NEW_TOKENS, do_sample=False)
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text = tok.decode(out[0][enc["input_ids"].shape[-1]:], skip_special_tokens=True).strip()
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answers = parse_answers(text, task_type=r["task_type"])
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rows.append({"id": r["id"], "pred": json.dumps(answers, ensure_ascii=False)})
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print(f"{len(rows)}/{len(df)} done", flush=True)
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os.makedirs("/tmp/model", exist_ok=True)
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pd.DataFrame(rows).to_csv("/tmp/model/submission.csv", index=False)
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print("wrote submission.csv", flush=True)
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303282
tokenizer.json
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tokenizer.json
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207
tokenizer_config.json
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tokenizer_config.json
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{
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"add_bos_token": false,
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151644": {
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151645": {
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"content": "<|im_end|>",
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"special": true
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},
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"single_word": false,
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"special": true
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},
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"content": "<|object_ref_end|>",
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"content": "<|box_end|>",
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151650": {
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"single_word": false,
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"special": true
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},
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151652": {
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"special": true
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},
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"151653": {
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"content": "<|vision_end|>",
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"special": true
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},
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},
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"151655": {
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"content": "<|image_pad|>",
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"special": true
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},
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151657": {
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"content": "<tool_call>",
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"lstrip": false,
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"normalized": false,
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"single_word": false,
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"special": false
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},
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"151658": {
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"content": "</tool_call>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"151659": {
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"content": "<|fim_prefix|>",
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"lstrip": false,
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"normalized": false,
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"special": false
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},
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"151660": {
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"content": "<|fim_middle|>",
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"single_word": false,
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"special": false
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},
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"151661": {
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"content": "<|fim_suffix|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"151662": {
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"content": "<|fim_pad|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"151663": {
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"content": "<|repo_name|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": false
|
||||||
|
},
|
||||||
|
"151664": {
|
||||||
|
"content": "<|file_sep|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"bos_token": null,
|
||||||
|
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"model_max_length": 131072,
|
||||||
|
"pad_token": "<|endoftext|>",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"unk_token": null
|
||||||
|
}
|
||||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user