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Same issue here. Everything is fine on my mac laptop but after I deployed it on Linux (Centos 7), I found this issue.
Have tried to change the version of gcc, python, torch, and tried to modify the source code of 'llama_tokenize' to make the tokenizer working as expected. But none of these works. And also checked md5 sum for all files, all of the md5 sum are right.
I saw in some other issues that some people tried making sure their project
was up to date and then rebuilt it. I rebuilt mine, requantized, then ran
it, and it started working. I have no idea why 😬
On Fri, Mar 17, 2023, 04:28 Casey Lai ***@***.***> wrote:
Same issue here. Everything is fine on my mac laptop but after I deployed
it on Linux (Centos 7), I found this issue.
Have tried to change the version of gcc, python, torch, and tried to
modify the source code of 'llama_tokenize' to make the tokenizer working as
expected. But none of these works. And also checked md5 sum for all files,
all of the md5 sum are right.
Environment:
Mac (works fine): gcc 9.4.0, Python 3.9.6, Torch 1.9.0
Centos 7 (issue): gcc 9.3.1, Python 3.9.16, Torch 1.9.1
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***@***.***>
./main -m ./models/7B/ggml-model-q4_0.bin -p "Building a website can be done in 10 simple steps:" -t 8 -n 512
llama.cpp Is the latest version Can anyone help me? Thanks!
Centos 7 even with sudo yum install devtoolset-11-gcc* can't work and output nothing meaningful, but just using an docker conatiner base on ubuntu jemmy with sudo apt-get install build-essential everything works fine in fp16.
Activity
zhoujian1028 commentedon Mar 15, 2023
@ggerganov Please,Thanks!
MillionthOdin16 commentedon Mar 17, 2023
I'm seeing the same issue. Model works fine in f16 version, but doesn't work after quantization
caseylai commentedon Mar 17, 2023
Same issue here. Everything is fine on my mac laptop but after I deployed it on Linux (Centos 7), I found this issue.
Have tried to change the version of gcc, python, torch, and tried to modify the source code of 'llama_tokenize' to make the tokenizer working as expected. But none of these works. And also checked md5 sum for all files, all of the md5 sum are right.
Environment:
Mac (works fine): gcc 9.4.0, Python 3.9.6, Torch 1.9.0
Centos 7 (issue): gcc 9.3.1, Python 3.9.16, Torch 1.9.1
MillionthOdin16 commentedon Mar 17, 2023
caseylai commentedon Mar 18, 2023
@zhoujian1028 I tried to deploy on another machine and it worked smoothly, for your reference: Ubuntu 22.04 + gcc11.3.0 + python 3.10.9 + torch 1.13.1
xlichao commentedon Mar 18, 2023
Centos 7 even with
sudo yum install devtoolset-11-gcc*can't work and output nothing meaningful, but just using an docker conatiner base on ubuntu jemmy withsudo apt-get install build-essentialeverything works fine in fp16.ar-jan commentedon Mar 20, 2023
Give it another try now that #252 landed.
sw commentedon Apr 7, 2023
No complaints after three weeks, let's assume this is fixed, possibly by #252.
CI Fix (temp-7248): Corrupted .gguf, incorrectly cached native CPU bu…
CI Fix (temp-7248): Corrupted .gguf, incorrectly cached native CPU bu…
xdna: ggml-org#113 add ensure_compiled positive cache (skip disk I/O …
xdna: ggml-org#113 enable xrt::run cache by default in f3best LOOP
xdna: ggml-org#113 add paris_short_q4_0_f3best_loop correctness test
44 remaining items
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…
rdna-boosts: block 05: flash-attention band, native quantized K/V and…