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-00003-of-00007.safetensors
9dec8e5c056ff81db9b2ef95f64ca5c2f997642dfd470bbea69f2b09e44e5250
model-00005-of-00007.safetensors
01c33f4c74445f3315ab147ba569f9d4627cb249a13d4aa3d00ceef4a2a6946c
model-00004-of-00007.safetensors
eab917bb4f890ff6f8f43b2ca14a8ff1c8c722576811abf4340196176ea4706f
model-00006-of-00007.safetensors
b86c717337b4f2020276d6195dca111692fa59732df18efabff04c237eb8ec96
model-00002-of-00007.safetensors
ce5e780c8d8d576e4db98177e2aa8fc1363bcb1b7464db73c14b1438e6192109
model-00001-of-00007.safetensors
05f902e7894827217efeac5a6fe4ce0d759127fbff21de803e26adea0ebbe372
model-00007-of-00007.safetensors
32da9c79d626654481dc8f6d3c104dce4822d356fa0e3e37b5a811e6960570ec
tokenizer.json
06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
model.safetensors.index.json
未记录 SHA-256
config.json
未记录 SHA-256
chat_template.jinja
未记录 SHA-256
.gitattributes
未记录 SHA-256
tokenizer_config.json
未记录 SHA-256
README.md
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/SuperQwen-AgentWorld-35B-A3B-abliterated-mlx-8Bit
The Model McG-221/SuperQwen-AgentWorld-35B-A3B-abliterated-mlx-8Bit was converted to MLX format from Jiunsong/SuperQwen-AgentWorld-35B-A3B-abliterated 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/SuperQwen-AgentWorld-35B-A3B-abliterated-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