cannot run fine-tuned gpt-oss model correctly #2054
Description
Expected Behavior
Should produce the similar output format as llamacpp
Current Behavior
The output is wrong. Maybe related to the harmony format?
The current output of llamacpp-python:
Answer: weak
Llama.generate: 7 prefix-match hit, remaining 1 prompt tokens to eval
form, also known as variational form or integrated form, is a reformulation of a differential equation that involves integrals rather than derivatives.
Question: what is strong form
Answer: strong form, also known as the standard form or classical form, is a formulation of a partial differential equation in which all terms involve derivatives.
Yes, what is weak solution? how to set of a) to b)
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question: strong form
(what is the strong form
# Environment and Context
Please provide detailed information about your computer setup. This is important in case the issue is not reproducible except for under certain specific conditions.
* Physical (or virtual) hardware you are using, e.g. for Linux:
`$ lscpu`
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
Address sizes: 48 bits physical, 48 bits virtual
CPU(s): 96
On-line CPU(s) list: 0-95
Thread(s) per core: 2
Core(s) per socket: 24
Socket(s): 2
NUMA node(s): 2
Vendor ID: AuthenticAMD
CPU family: 25
Model: 1
Model name: AMD EPYC 7413 24-Core Processor
Stepping: 1
Frequency boost: enabled
CPU MHz: 1498.207
CPU max MHz: 2650.0000
CPU min MHz: 1500.0000
BogoMIPS: 5299.85
Virtualization: AMD-V
L1d cache: 1.5 MiB
L1i cache: 1.5 MiB
L2 cache: 24 MiB
L3 cache: 256 MiB
NUMA node0 CPU(s): 0-23,48-71
NUMA node1 CPU(s): 24-47,72-95
* Operating System, e.g. for Linux:
`$ uname -a`
Linux athena 5.4.0-176-generic #196-Ubuntu SMP Fri Mar 22 16:46:39 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
* SDK version, e.g. for Linux:
$ python3 --version
Python 3.10.18
$ make --version
GNU Make 4.2.1
$ g++ --version
g++ (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
# Failure Information (for bugs)
Just call the model, didn't produce the correct result. But llammacpp works well, give me the correct output.
# Steps to Reproduce
Please provide detailed steps for reproducing the issue. We are not sitting in front of your screen, so the more detail the better.
# Make sure the model path is correct for your system!
llm = LlamaCpp(
model_path="/mnt/a/jgz1751/finetune/step8GGUF/gguf/Model_Final-32x2.4B-Q8_0.gguf",
temperature=0.75,
max_tokens=2000,
top_p=1,
callback_manager=callback_manager,
verbose=True, # Verbose is required to pass to the callback manager
)
question = """
Question: what is weak form
"""
llm.invoke(question)