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#3516·mlc-llm

[Bug] M4 OSX 15.7.4 Installation Issue

Author: farukerdem34Created Jul 19, 2026Updated Jul 19, 2026
Labelsbug

Bug

The steps I've followed for installation:

bash
conda create -n mlc-llm python=3.10
2 channel Terms of Service accepted
Channels:
 - defaults
Platform: osx-arm64
Collecting package metadata (repodata.json): done
Solving environment: done


==> WARNING: A newer version of conda exists. <==
    current version: 26.1.1
    latest version: 26.5.3

Please update conda by running

    $ conda update -n base -c defaults conda



## Package Plan ##

  environment location: /opt/anaconda3/envs/mlc-llm

  added / updated specs:
    - python=3.10


The following NEW packages will be INSTALLED:

  bzip2              pkgs/main/osx-arm64::bzip2-1.0.8-h80987f9_6 
  ca-certificates    pkgs/main/osx-arm64::ca-certificates-2026.5.14-hca03da5_0 
  libcxx             pkgs/main/osx-arm64::libcxx-22.1.2-hf894667_0 
  libexpat           pkgs/main/osx-arm64::libexpat-2.8.2-h50f4ffc_1 
  libffi             pkgs/main/osx-arm64::libffi-3.4.8-h4a3ca97_3 
  libzlib            pkgs/main/osx-arm64::libzlib-1.3.2-hb4cf58c_0 
  ncurses            pkgs/main/osx-arm64::ncurses-6.5-hee39554_0 
  openssl            pkgs/main/osx-arm64::openssl-3.5.7-ha0b305a_0 
  packaging          pkgs/main/osx-arm64::packaging-26.0-py310hca03da5_0 
  pip                pkgs/main/noarch::pip-26.1.2-pyhc872135_0 
  python             pkgs/main/osx-arm64::python-3.10.20-h478e877_1 
  readline           pkgs/main/osx-arm64::readline-8.3-h0b18652_0 
  setuptools         pkgs/main/osx-arm64::setuptools-83.0.0-py310hca03da5_0 
  sqlite             pkgs/main/osx-arm64::sqlite-3.53.2-h1cce5ff_0 
  tk                 pkgs/main/osx-arm64::tk-8.6.15-hcd8a7d5_0 
  tzdata             pkgs/main/noarch::tzdata-2026c-he532380_0 
  wheel              pkgs/main/osx-arm64::wheel-0.47.0-py310hca03da5_0 
  xz                 pkgs/main/osx-arm64::xz-5.8.2-h8bbcb1d_0 
  zlib               pkgs/main/osx-arm64::zlib-1.3.2-hb4cf58c_0 


Proceed ([y]/n)? 


Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate mlc-llm
#
# To deactivate an active environment, use
#
#     $ conda deactivate

(base) 
mf-llm-monitoring-deci-scoring on  main took 10s 
❯ conda activate mlc-llm             
(mlc-llm) 
mf-llm-monitoring-deci-scoring on  main via  mlc-llm 
❯ conda install -y conda-forge git-lfs             
2 channel Terms of Service accepted
Channels:
 - defaults
Platform: osx-arm64
Collecting package metadata (repodata.json): done
Solving environment: failed

PackagesNotFoundError: The following packages are not available from current channels:

  - conda-forge

Current channels:

  - defaults

To search for alternate channels that may provide the conda package you're
looking for, navigate to

    https://anaconda.org

and use the search bar at the top of the page.


(mlc-llm) 
mf-llm-monitoring-deci-scoring on  main via  mlc-llm 
❯ python V                            
python: can't open file '/Users/ferdem/Projects/mf-llm-monitoring-deci-scoring/V': [Errno 2] No such file or directory
(mlc-llm) 
mf-llm-monitoring-deci-scoring on  main via  mlc-llm 
❯ python -V              
Python 3.10.20
(mlc-llm) 
mf-llm-monitoring-deci-scoring on  main via  mlc-llm 
❯ pip --version              
pip 26.1.2 from /opt/anaconda3/envs/mlc-llm/lib/python3.10/site-packages/pip (python 3.10)
bash
python -m pip install --pre -U -f https://mlc.ai/wheels mlc-llm-nightly-cpu mlc-ai-nightly-cpu
Looking in links: https://mlc.ai/wheels
Collecting mlc-llm-nightly-cpu
  Downloading mlc_llm_nightly_cpu-0.20.dev162-py3-none-macosx_13_0_arm64.whl (21.9 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.9/21.9 MB 11.2 MB/s  0:00:02
Collecting mlc-ai-nightly-cpu
  Downloading mlc_ai_nightly_cpu-0.26.dev203-py3-none-macosx_15_0_arm64.whl (66.9 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.9/66.9 MB 6.5 MB/s  0:00:10
Collecting apache-tvm-ffi (from mlc-llm-nightly-cpu)
  Using cached apache_tvm_ffi-0.1.12-cp310-cp310-macosx_11_0_arm64.whl.metadata (6.2 kB)
Collecting datasets (from mlc-llm-nightly-cpu)
  Using cached datasets-5.0.0-py3-none-any.whl.metadata (23 kB)
Collecting fastapi (from mlc-llm-nightly-cpu)
  Using cached fastapi-0.139.2-py3-none-any.whl.metadata (26 kB)
Collecting ml_dtypes>=0.5.1 (from mlc-llm-nightly-cpu)
  Using cached ml_dtypes-0.5.4-cp310-cp310-macosx_10_9_universal2.whl.metadata (8.9 kB)
Collecting openai (from mlc-llm-nightly-cpu)
  Using cached openai-2.46.0-py3-none-any.whl.metadata (34 kB)
Collecting pandas (from mlc-llm-nightly-cpu)
  Using cached pandas-2.3.3-cp310-cp310-macosx_11_0_arm64.whl.metadata (91 kB)
Collecting prompt_toolkit (from mlc-llm-nightly-cpu)
  Using cached prompt_toolkit-3.0.52-py3-none-any.whl.metadata (6.4 kB)
Collecting requests (from mlc-llm-nightly-cpu)
  Using cached requests-2.34.2-py3-none-any.whl.metadata (4.8 kB)
Collecting safetensors (from mlc-llm-nightly-cpu)
  Using cached safetensors-0.8.0-cp310-abi3-macosx_11_0_arm64.whl.metadata (4.2 kB)
Collecting sentencepiece (from mlc-llm-nightly-cpu)
  Using cached sentencepiece-0.2.2-cp310-cp310-macosx_11_0_arm64.whl.metadata (33 kB)
Collecting shortuuid (from mlc-llm-nightly-cpu)
  Using cached shortuuid-1.0.13-py3-none-any.whl.metadata (5.8 kB)
Collecting tiktoken (from mlc-llm-nightly-cpu)
  Using cached tiktoken-0.13.0-cp310-cp310-macosx_11_0_arm64.whl.metadata (6.7 kB)
Collecting torch (from mlc-llm-nightly-cpu)
  Using cached torch-2.13.0-cp310-cp310-macosx_14_0_arm64.whl.metadata (39 kB)
Collecting tqdm (from mlc-llm-nightly-cpu)
  Using cached tqdm-4.69.0-py3-none-any.whl.metadata (57 kB)
Collecting transformers (from mlc-llm-nightly-cpu)
  Using cached transformers-5.14.1-py3-none-any.whl.metadata (32 kB)
Collecting uvicorn (from mlc-llm-nightly-cpu)
  Using cached uvicorn-0.51.0-py3-none-any.whl.metadata (6.6 kB)
INFO: pip is looking at multiple versions of mlc-ai-nightly-cpu to determine which version is compatible with other requirements. This could take a while.
Collecting mlc-ai-nightly-cpu
  Downloading mlc_ai_nightly_cpu-0.26.dev61-py3-none-macosx_13_0_arm64.whl (58.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.1/58.1 MB 7.6 MB/s  0:00:07
Collecting numpy (from mlc-ai-nightly-cpu)
  Using cached numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl.metadata (62 kB)
Collecting typing_extensions (from mlc-ai-nightly-cpu)
  Using cached typing_extensions-4.16.0-py3-none-any.whl.metadata (3.3 kB)
Collecting filelock (from datasets->mlc-llm-nightly-cpu)
  Using cached filelock-3.31.0-py3-none-any.whl.metadata (2.0 kB)
Collecting pyarrow>=21.0.0 (from datasets->mlc-llm-nightly-cpu)
  Using cached pyarrow-25.0.0-cp310-cp310-macosx_12_0_arm64.whl.metadata (3.0 kB)
Collecting dill<0.4.2,>=0.3.0 (from datasets->mlc-llm-nightly-cpu)
  Using cached dill-0.4.1-py3-none-any.whl.metadata (10 kB)
Collecting httpx<1.0.0 (from datasets->mlc-llm-nightly-cpu)
  Using cached httpx-0.28.1-py3-none-any.whl.metadata (7.1 kB)
Collecting xxhash (from datasets->mlc-llm-nightly-cpu)
  Using cached xxhash-3.8.1-cp310-cp310-macosx_11_0_arm64.whl.metadata (15 kB)
Collecting multiprocess<0.70.20 (from datasets->mlc-llm-nightly-cpu)
  Using cached multiprocess-0.70.19-py310-none-any.whl.metadata (7.5 kB)
Collecting fsspec<=2026.4.0,>=2023.1.0 (from fsspec[http]<=2026.4.0,>=2023.1.0->datasets->mlc-llm-nightly-cpu)
  Using cached fsspec-2026.4.0-py3-none-any.whl.metadata (10 kB)
Collecting huggingface-hub<2.0,>=0.25.0 (from datasets->mlc-llm-nightly-cpu)
  Using cached huggingface_hub-1.24.0-py3-none-any.whl.metadata (16 kB)
Requirement already satisfied: packaging in /opt/anaconda3/envs/mlc-llm/lib/python3.10/site-packages (from datasets->mlc-llm-nightly-cpu) (26.0)
Collecting pyyaml>=5.1 (from datasets->mlc-llm-nightly-cpu)
  Using cached pyyaml-6.0.3-cp310-cp310-macosx_11_0_arm64.whl.metadata (2.4 kB)
Collecting aiohttp!=4.0.0a0,!=4.0.0a1 (from fsspec[http]<=2026.4.0,>=2023.1.0->datasets->mlc-llm-nightly-cpu)
  Using cached aiohttp-3.14.1-cp310-cp310-macosx_11_0_arm64.whl.metadata (8.3 kB)
Collecting anyio (from httpx<1.0.0->datasets->mlc-llm-nightly-cpu)
  Using cached anyio-4.14.2-py3-none-any.whl.metadata (4.6 kB)
Collecting certifi (from httpx<1.0.0->datasets->mlc-llm-nightly-cpu)
  Using cached certifi-2026.6.17-py3-none-any.whl.metadata (2.5 kB)
Collecting httpcore==1.* (from httpx<1.0.0->datasets->mlc-llm-nightly-cpu)
  Using cached httpcore-1.0.9-py3-none-any.whl.metadata (21 kB)
Collecting idna (from httpx<1.0.0->datasets->mlc-llm-nightly-cpu)
  Using cached idna-3.18-py3-none-any.whl.metadata (6.1 kB)
Collecting h11>=0.16 (from httpcore==1.*->httpx<1.0.0->datasets->mlc-llm-nightly-cpu)
  Using cached h11-0.16.0-py3-none-any.whl.metadata (8.3 kB)
Collecting click<9.0.0,>=8.4.2 (from huggingface-hub<2.0,>=0.25.0->datasets->mlc-llm-nightly-cpu)
  Using cached click-8.4.2-py3-none-any.whl.metadata (2.6 kB)
Collecting hf-xet<2.0.0,>=1.5.1 (from huggingface-hub<2.0,>=0.25.0->datasets->mlc-llm-nightly-cpu)
  Using cached hf_xet-1.5.2-cp38-abi3-macosx_11_0_arm64.whl.metadata (4.9 kB)
Collecting aiohappyeyeballs>=2.5.0 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2026.4.0,>=2023.1.0->datasets->mlc-llm-nightly-cpu)
  Using cached aiohappyeyeballs-2.7.1-py3-none-any.whl.metadata (5.9 kB)
Collecting aiosignal>=1.4.0 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2026.4.0,>=2023.1.0->datasets->mlc-llm-nightly-cpu)
  Using cached aiosignal-1.4.0-py3-none-any.whl.metadata (3.7 kB)
Collecting async-timeout<6.0,>=4.0 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2026.4.0,>=2023.1.0->datasets->mlc-llm-nightly-cpu)
  Using cached async_timeout-5.0.1-py3-none-any.whl.metadata (5.1 kB)
Collecting attrs>=17.3.0 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2026.4.0,>=2023.1.0->datasets->mlc-llm-nightly-cpu)
  Using cached attrs-26.1.0-py3-none-any.whl.metadata (8.8 kB)
Collecting frozenlist>=1.1.1 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2026.4.0,>=2023.1.0->datasets->mlc-llm-nightly-cpu)
  Using cached frozenlist-1.8.0-cp310-cp310-macosx_11_0_arm64.whl.metadata (20 kB)
Collecting multidict<7.0,>=4.5 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2026.4.0,>=2023.1.0->datasets->mlc-llm-nightly-cpu)
  Using cached multidict-6.7.1-cp310-cp310-macosx_11_0_arm64.whl.metadata (5.3 kB)
Collecting propcache>=0.2.0 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2026.4.0,>=2023.1.0->datasets->mlc-llm-nightly-cpu)
  Using cached propcache-0.5.2-cp310-cp310-macosx_11_0_arm64.whl.metadata (16 kB)
Collecting yarl<2.0,>=1.17.0 (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2026.4.0,>=2023.1.0->datasets->mlc-llm-nightly-cpu)
  Using cached yarl-1.24.2-cp310-cp310-macosx_11_0_arm64.whl.metadata (94 kB)
Collecting charset_normalizer<4,>=2 (from requests->mlc-llm-nightly-cpu)
  Using cached charset_normalizer-3.4.9-cp310-cp310-macosx_10_9_universal2.whl.metadata (41 kB)
Collecting urllib3<3,>=1.26 (from requests->mlc-llm-nightly-cpu)
  Using cached urllib3-2.7.0-py3-none-any.whl.metadata (6.9 kB)
Collecting exceptiongroup>=1.0.2 (from anyio->httpx<1.0.0->datasets->mlc-llm-nightly-cpu)
  Using cached exceptiongroup-1.3.1-py3-none-any.whl.metadata (6.7 kB)
Collecting starlette>=0.46.0 (from fastapi->mlc-llm-nightly-cpu)
  Using cached starlette-1.3.1-py3-none-any.whl.metadata (6.4 kB)
Collecting pydantic>=2.9.0 (from fastapi->mlc-llm-nightly-cpu)
  Using cached pydantic-2.14.0a1-py3-none-any.whl.metadata (111 kB)
Collecting typing-inspection>=0.4.2 (from fastapi->mlc-llm-nightly-cpu)
  Using cached typing_inspection-0.4.2-py3-none-any.whl.metadata (2.6 kB)
Collecting annotated-doc>=0.0.2 (from fastapi->mlc-llm-nightly-cpu)
  Using cached annotated_doc-0.0.4-py3-none-any.whl.metadata (6.6 kB)
Collecting annotated-types>=0.6.0 (from pydantic>=2.9.0->fastapi->mlc-llm-nightly-cpu)
  Using cached annotated_types-0.7.0-py3-none-any.whl.metadata (15 kB)
Collecting pydantic-core==2.47.0 (from pydantic>=2.9.0->fastapi->mlc-llm-nightly-cpu)
  Using cached pydantic_core-2.47.0-cp310-cp310-macosx_11_0_arm64.whl.metadata (6.5 kB)
Collecting distro<2,>=1.7.0 (from openai->mlc-llm-nightly-cpu)
  Using cached distro-1.9.0-py3-none-any.whl.metadata (6.8 kB)
Collecting jiter<1,>=0.10.0 (from openai->mlc-llm-nightly-cpu)
  Using cached jiter-0.16.0-cp310-cp310-macosx_11_0_arm64.whl.metadata (5.2 kB)
Collecting sniffio (from openai->mlc-llm-nightly-cpu)
  Using cached sniffio-1.3.1-py3-none-any.whl.metadata (3.9 kB)
Collecting python-dateutil>=2.8.2 (from pandas->mlc-llm-nightly-cpu)
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Collecting pytz>=2020.1 (from pandas->mlc-llm-nightly-cpu)
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Collecting tzdata>=2022.7 (from pandas->mlc-llm-nightly-cpu)
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Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas->mlc-llm-nightly-cpu)
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Collecting wcwidth (from prompt_toolkit->mlc-llm-nightly-cpu)
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Collecting regex (from tiktoken->mlc-llm-nightly-cpu)
  Using cached regex-2026.7.19-cp310-cp310-macosx_11_0_arm64.whl.metadata (40 kB)
Requirement already satisfied: setuptools>=77.0.3 in /opt/anaconda3/envs/mlc-llm/lib/python3.10/site-packages (from torch->mlc-llm-nightly-cpu) (83.0.0)
Collecting sympy>=1.13.3 (from torch->mlc-llm-nightly-cpu)
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Collecting networkx>=2.5.1 (from torch->mlc-llm-nightly-cpu)
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Collecting jinja2 (from torch->mlc-llm-nightly-cpu)
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Collecting mpmath<1.4,>=1.1.0 (from sympy>=1.13.3->torch->mlc-llm-nightly-cpu)
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Collecting MarkupSafe>=2.0 (from jinja2->torch->mlc-llm-nightly-cpu)
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Collecting tokenizers<=0.23.0,>=0.22.0 (from transformers->mlc-llm-nightly-cpu)
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Collecting typer (from transformers->mlc-llm-nightly-cpu)
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Collecting shellingham>=1.3.0 (from typer->transformers->mlc-llm-nightly-cpu)
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Collecting rich>=13.8.0 (from typer->transformers->mlc-llm-nightly-cpu)
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Collecting markdown-it-py>=2.2.0 (from rich>=13.8.0->typer->transformers->mlc-llm-nightly-cpu)
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Collecting pygments<3.0.0,>=2.13.0 (from rich>=13.8.0->typer->transformers->mlc-llm-nightly-cpu)
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Collecting mdurl~=0.1 (from markdown-it-py>=2.2.0->rich>=13.8.0->typer->transformers->mlc-llm-nightly-cpu)
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Using cached apache_tvm_ffi-0.1.12-cp310-cp310-macosx_11_0_arm64.whl (2.5 MB)
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Using cached numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl (5.3 MB)
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Using cached httpx-0.28.1-py3-none-any.whl (73 kB)
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Using cached huggingface_hub-1.24.0-py3-none-any.whl (771 kB)
Using cached click-8.4.2-py3-none-any.whl (119 kB)
Using cached hf_xet-1.5.2-cp38-abi3-macosx_11_0_arm64.whl (3.8 MB)
Using cached multiprocess-0.70.19-py310-none-any.whl (134 kB)
Using cached aiohttp-3.14.1-cp310-cp310-macosx_11_0_arm64.whl (514 kB)
Using cached async_timeout-5.0.1-py3-none-any.whl (6.2 kB)
Using cached multidict-6.7.1-cp310-cp310-macosx_11_0_arm64.whl (44 kB)
Using cached yarl-1.24.2-cp310-cp310-macosx_11_0_arm64.whl (91 kB)
Using cached aiohappyeyeballs-2.7.1-py3-none-any.whl (15 kB)
Using cached aiosignal-1.4.0-py3-none-any.whl (7.5 kB)
Using cached attrs-26.1.0-py3-none-any.whl (67 kB)
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Using cached propcache-0.5.2-cp310-cp310-macosx_11_0_arm64.whl (53 kB)
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Installing collected packages: pytz, mpmath, xxhash, wcwidth, urllib3, tzdata, typing_extensions, tqdm, sympy, sniffio, six, shortuuid, shellingham, sentencepiece, safetensors, regex, pyyaml, pygments, pyarrow, propcache, numpy, networkx, mdurl, MarkupSafe, jiter, idna, hf-xet, h11, fsspec, frozenlist, filelock, distro, dill, click, charset_normalizer, certifi, attrs, async-timeout, annotated-types, annotat

Source: mlc-ai/mlc-llm

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