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SlayerLab/gollem-v4-250m-pl main

Python json.load callAI PyTorch or SafeTensors extension
SHA-2562c68e6fcb694e4aafd52de58c6ba2c5df7d47c920f5ed2c7c742e1397dd0102e
MaleculeH₂(DbF₂)

Evidence

AI PyTorch or SafeTensors extension lines 1–18
⋯6 lines
7 from modeling_gollem import GollemGPT
8 m = GollemGPT.from_pretrained("./") # najnowsza migawka
9 m = GollemGPT.from_pretrained("./", ckpt="ckpt_6000.safetensors") # konkretny etap
10 print(m.generate("Polska to kraj", max_new_tokens=60))
11"""
⋯7 lines
English function-word token "for" lines 40–43
40:70… )
41 s.blocks = nn.ModuleList([Block(d, nh) for _ in range(nl)])
42 s.lnf = nn.LayerNorm(d); s.head = nn.Linear(d, vocab, bias=False)
43 s. …
Calls Python glob for file enumeration lines 53–59
53:26… ss
54
55 @staticmethod
56 def _latest_ckpt(path):
57 cks = glob.glob(os.path.join(path, "ckpt_*.safetensors"))
58 assert cks, f"brak ckpt_*.safetensors w {path}"
59 return os.path.basename(max(cks, key=lambda p: int(re.search(r"ckpt_(\d+)", p).group(1) …
Python json.load call lines 62–64
62:12… m_pretrained(cls, path, ckpt=None, device="cpu"):
63 cfg = json.load(open(os.path.join(path, "config.json")))
64 m = cls(cfg["vocab_size"], cfg["d_model"], cfg["n_layer"], cfg["n_head"], cfg["block_ …
English function-word token "and" lines 68–74
68:27… d = m.load_state_dict(sd, strict=False)
69 assert not unexpected and missing in ([], ["head.weight"]), f"load mismatch: {missing}/{unexpected}"
70 m.eval().to(device)
71 tokp = os.path.join(path, "tokenizer.json")
72 if os.path.exists(tokp):
73 from tokenizers import Tokenizer
74 m._tok = Tokenizer.from_file(to …

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