[Bug]: Impossible dependency requirement with GGUF

[musoles]

Your current environment

The output of `python env.py`

Collecting environment information...
PyTorch version: 2.4.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Pop!_OS 22.04 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35

Python version: 3.10.12 (main, Mar 22 2024, 16:50:05) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-6.9.3-76060903-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3050 Ti Laptop GPU
Nvidia driver version: 550.67
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 39 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 12
On-line CPU(s) list: 0-11
Vendor ID: GenuineIntel
Model name: 11th Gen Intel(R) Core(TM) i5-11400H @ 2.70GHz
CPU family: 6
Model: 141
Thread(s) per core: 2
Core(s) per socket: 6
Socket(s): 1
Stepping: 1
CPU max MHz: 4500.0000
CPU min MHz: 800.0000
BogoMIPS: 5376.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l2 cdp_l2 ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves split_lock_detect user_shstk dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid movdiri movdir64b fsrm avx512_vp2intersect md_clear ibt flush_l1d arch_capabilities
Virtualisation: VT-x
L1d cache: 288 KiB (6 instances)
L1i cache: 192 KiB (6 instances)
L2 cache: 7.5 MiB (6 instances)
L3 cache: 12 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-11
Vulnerability Gather data sampling: Mitigation; Microcode
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI SW loop, KVM SW loop
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected

Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] nvidia-nccl-cu12==2.20.5
[pip3] pyzmq==26.2.0
[pip3] torch==2.4.0
[pip3] torchvision==0.19.0
[pip3] transformers==4.45.2
[pip3] triton==3.0.0
[conda] No relevant packages
ROCM Version: Could not collect
Neuron SDK Version: N/A
Aphrodite Version: 0.6.2.post1
Aphrodite Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
�[4mGPU0 CPU Affinity NUMA Affinity GPU NUMA ID�[0m
GPU0 X 0-11 0 N/A

Legend:

X = Self
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
PIX = Connection traversing at most a single PCIe bridge
NV# = Connection traversing a bonded set of # NVLinks

🐛 Describe the bug

Using the following command gives me an error about the version of GGUF installed:

Loading a GGUF checkpoint in PyTorch, requires both PyTorch and GGUF>=0.10.0 to be installed. Please see https://pytorch.org/ and https://github.com/ggerganov/llama.cpp/tree/master/gguf-py for installation instructions.
Traceback (most recent call last):
  File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/carlosfm/kalavai/kalavai-client/templates/aphrodite/env/lib/python3.10/site-packages/aphrodite/endpoints/openai/api_server.py", line 747, in <module>
    asyncio.run(run_server(args))
  File "/usr/lib/python3.10/asyncio/runners.py", line 44, in run
    return loop.run_until_complete(main)
  File "/usr/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete
    return future.result()
  File "/home/carlosfm/kalavai/kalavai-client/templates/aphrodite/env/lib/python3.10/site-packages/aphrodite/endpoints/openai/api_server.py", line 718, in run_server
    async with build_async_engine_client(args) as async_engine_client:
  File "/usr/lib/python3.10/contextlib.py", line 199, in __aenter__
    return await anext(self.gen)
  File "/home/carlosfm/kalavai/kalavai-client/templates/aphrodite/env/lib/python3.10/site-packages/aphrodite/endpoints/openai/api_server.py", line 115, in build_async_engine_client
    if (model_is_embedding(args.model, args.trust_remote_code)
  File "/home/carlosfm/kalavai/kalavai-client/templates/aphrodite/env/lib/python3.10/site-packages/aphrodite/endpoints/openai/api_server.py", line 79, in model_is_embedding
    return ModelConfig(model=model_name,
  File "/home/carlosfm/kalavai/kalavai-client/templates/aphrodite/env/lib/python3.10/site-packages/aphrodite/common/config.py", line 200, in __init__
    self.hf_config = get_config(self.model, trust_remote_code, revision,
  File "/home/carlosfm/kalavai/kalavai-client/templates/aphrodite/env/lib/python3.10/site-packages/aphrodite/transformers_utils/config.py", line 120, in get_config
    config_dict, _ = PretrainedConfig.get_config_dict(
  File "/home/carlosfm/kalavai/kalavai-client/templates/aphrodite/env/lib/python3.10/site-packages/transformers/configuration_utils.py", line 570, in get_config_dict
    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
  File "/home/carlosfm/kalavai/kalavai-client/templates/aphrodite/env/lib/python3.10/site-packages/transformers/configuration_utils.py", line 661, in _get_config_dict
    config_dict = load_gguf_checkpoint(resolved_config_file, return_tensors=False)["config"]
  File "/home/carlosfm/kalavai/kalavai-client/templates/aphrodite/env/lib/python3.10/site-packages/transformers/modeling_gguf_pytorch_utils.py", line 81, in load_gguf_checkpoint
    raise ImportError("Please install torch and gguf>=0.10.0 to load a GGUF checkpoint in PyTorch.")
ImportError: Please install torch and gguf>=0.10.0 to load a GGUF checkpoint in PyTorch.

However, this requirement is incompatible with the requirements-common.txt in aphrodite-engine, which requires gguf==0.9.1.

As a workaround, if I force pip install gguf==0.10.0 the deployment works as expected.

[twright8]

+1