已保存的文件元数据(15 个文件)
历史来源元数据,不是文件的副本。校验和不能证明当前可用。
model-00001-of-00007.safetensors
7ce9d0b7b01bb133ebf089a65dbcce23dcf35d73eb28dfa20b639a21e86711f3
model-00004-of-00007.safetensors
f9afcd3cedfc7e107b7e199fea995d105ee2ad56929fd3dd017ce6dd24ea9f55
model-00002-of-00007.safetensors
ad229b96564455b865364db16918a557d55f21199e4ff7a9d0e0952e56c5c9e0
model-00006-of-00007.safetensors
bbd2d487828c3e2434ca181673023a1489699a6739c2725250ac0c91d5eb1e17
model-00003-of-00007.safetensors
a2c01a7ae42cc9881768fc3f4c1820a86c00766f8f88f154fd17e32d10ed1a46
model-00005-of-00007.safetensors
bf8ef73665e3d894d5badd01cef18a99e7da7dcc3a21c52c80a298976499420c
model-00007-of-00007.safetensors
01b0ace9963a901962e9bbe492d66faa5a0ed47b09ade9da5529375694fa770e
tokenizer.json
623c34567aebb18582765289fbe23d901c62704d6518d71866e0e58db892b5b7
model.safetensors.index.json
未记录 SHA-256
chat_template.jinja
未记录 SHA-256
config.json
未记录 SHA-256
.gitattributes
未记录 SHA-256
README.md
未记录 SHA-256
tokenizer_config.json
未记录 SHA-256
generation_config.json
未记录 SHA-256
已保存的模型卡(历史版本)
McG-221/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16-mlx-8Bit
The Model McG-221/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16-mlx-8Bit was converted to MLX format from nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("McG-221/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16-mlx-8Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
模型讨论
分享经验,帮助他人,建立信任。
正在加载评论…
围绕模型展开讨论。禁止垃圾信息、诈骗和人身攻击。评论和回复中不允许包含链接。 评论规则