NameError: Could not load Llama model from path: D:\privateGPT\ggml-model-q4_0.bin #113

michael7908 · 2023-05-14T09:21:20Z

I checked this issue with GPT-4 and this is what I got:

The error message is indicating that the Llama model you're trying to use is in an old format that is no longer supported. The error message suggests to visit a URL for more information: ggerganov/llama.cpp#1305.

As of my knowledge cutoff in September 2021, I can't provide direct insight into the specific contents of that pull request or the subsequent changes in the Llama library. You should visit the URL provided in the error message for the most accurate and up-to-date information.

However, based on the error message, it seems like you need to convert your Llama model to a new format that is supported by the current version of the Llama library. You should look for documentation or tools provided by the Llama library that can help you perform this conversion.

If the Llama model (ggml-model-q4_0.bin) was provided to you or downloaded from a third-party source, you might also want to check if there's an updated version of the model available in the new format.

Could you please help me out on this? Thank you in advance.

michael7908 · 2023-05-14T09:21:51Z

The whole error message:

PS D:\privateGPT> python ingest.py
Loading documents from source_documents
Loaded 2 documents from source_documents
Split into 91 chunks of text (max. 500 tokens each)
llama.cpp: loading model from D:\privateGPT\ggml-model-q4_0.bin
llama.cpp: can't use mmap because tensors are not aligned; convert to new format to avoid this
llama_model_load_internal: format = 'ggml' (old version with low tokenizer quality and no mmap support)
llama_model_load_internal: n_vocab = 32000
llama_model_load_internal: n_ctx = 1024
llama_model_load_internal: n_embd = 4096
llama_model_load_internal: n_mult = 256
llama_model_load_internal: n_head = 32
llama_model_load_internal: n_layer = 32
llama_model_load_internal: n_rot = 128
llama_model_load_internal: ftype = 2 (mostly Q4_0)
llama_model_load_internal: n_ff = 11008
llama_model_load_internal: n_parts = 1
llama_model_load_internal: model size = 7B
error loading model: this format is no longer supported (see ggerganov/llama.cpp#1305)
llama_init_from_file: failed to load model
Traceback (most recent call last):
File "C:\Python311\Lib\site-packages\langchain\embeddings\llamacpp.py", line 78, in validate_environment
values["client"] = Llama(
^^^^^^
File "C:\Python311\Lib\site-packages\llama_cpp\llama.py", line 161, in init
assert self.ctx is not None
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "D:\privateGPT\ingest.py", line 62, in
main()
File "D:\privateGPT\ingest.py", line 53, in main
llama = LlamaCppEmbeddings(model_path=llama_embeddings_model, n_ctx=model_n_ctx)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pydantic\main.py", line 339, in pydantic.main.BaseModel.init
File "pydantic\main.py", line 1102, in pydantic.main.validate_model
File "C:\Python311\Lib\site-packages\langchain\embeddings\llamacpp.py", line 98, in validate_environment
raise NameError(f"Could not load Llama model from path: {model_path}")
NameError: Could not load Llama model from path: D:\privateGPT\ggml-model-q4_0.bin

Mostajerane · 2023-05-14T11:30:08Z

I also have the same issue, can anyone help?

Mostajerane · 2023-05-14T13:06:27Z

@michael7908 create a new environment, install the requirements, this will solve the issue.

michael7908 · 2023-05-14T13:23:17Z

Hi Thanks, do you mean a virtual environment? thanks

…

On Sun, May 14, 2023 at 9:06 PM Mostajerane ***@***.***> wrote: @michael7908 <https://github.com/michael7908> create a new environment, install the requirements, this will solve the issue. — Reply to this email directly, view it on GitHub <#113 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AG3L6MEAAEXA3UWHWHV7TKDXGDKF3ANCNFSM6AAAAAAYBBI3TY> . You are receiving this because you were mentioned.Message ID: ***@***.***>

Mostajerane · 2023-05-14T13:31:47Z

Yes

pboethig2 · 2023-05-14T16:14:40Z

use conda an conda create

maozdemir · 2023-05-16T06:18:35Z

Creating a new environment is not a solution. See ggerganov/llama.cpp#1305

YangZeyu95 · 2023-05-17T03:08:26Z

pip install llama-cpp-python==0.1.48 resolved my issue

ChatTeach · 2023-05-17T04:08:18Z

ya...its very useful.

i solved my issue.

inventivejon · 2023-05-18T11:03:27Z

It also solved it for me

augusto-rehfeldt · 2023-05-21T21:07:35Z

EDIT: fixed by installing llama-cpp-python > 0.1.53! Thanks!

Hello, it didn't solve the issue for me.

My python version is 3.11.0.

I'm using Wizard-Vicuna-7B-Uncensored.ggmlv3.q4_0.bin inside "models", which is a GGML v3 model, and llama-cpp-python version 0.1.52.

Error log in powershell:

PS C:\llm\privateGPT> python .\privateGPT.py
Using embedded DuckDB with persistence: data will be stored in: db
llama.cpp: loading model from models/Wizard-Vicuna-7B-Uncensored.ggmlv3.q4_0.bin
error loading model: unknown (magic, version) combination: 67676a74, 00000003; is this really a GGML file?
llama_init_from_file: failed to load model
Traceback (most recent call last):
  File "C:\llm\privateGPT\privateGPT.py", line 75, in <module>
    main()
  File "C:\llm\privateGPT\privateGPT.py", line 33, in main
    llm = LlamaCpp(model_path=model_path, n_ctx=model_n_ctx, callbacks=callbacks, verbose=False)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "pydantic\main.py", line 341, in pydantic.main.BaseModel.__init__
pydantic.error_wrappers.ValidationError: 1 validation error for LlamaCpp
__root__
  Could not load Llama model from path: models/Wizard-Vicuna-7B-Uncensored.ggmlv3.q4_0.bin. Received error  (type=value_error)

I've already tried reinstalling llama-cpp-python with different versions.

Thanks for your help.

UnathiNeo · 2023-05-23T13:19:22Z

I was able to solve this issue by using pip install llama-cpp-python==0.1.53

Using embedded DuckDB with persistence: data will be stored in: db
llama.cpp: loading model from Models/koala-7B.ggmlv3.q4_0.bin
error loading model: unknown (magic, version) combination: 67676a74, 00000003; is this really a GGML file?
llama_init_from_file: failed to load model
Traceback (most recent call last):
File "C:\Users\Desktop\Desktop\Demo\privateGPT\privateGPT.py", line 75, in
main()
File "C:\Users\Desktop\Desktop\Demo\privateGPT\privateGPT.py", line 33, in main
llm = LlamaCpp(model_path=model_path, n_ctx=model_n_ctx, callbacks=callbacks, verbose=False)
File "pydantic\main.py", line 341, in pydantic.main.BaseModel.init
pydantic.error_wrappers.ValidationError: 1 validation error for LlamaCpp
root
Could not load Llama model from path: Models/koala-7B.ggmlv3.q4_0.bin. Received error (type=value_error)
PS C:\Users\Desktop\Desktop\Demo\privateGPT> pip install llama-cpp-python==0.1.53
Collecting llama-cpp-python==0.1.53
Downloading llama_cpp_python-0.1.53.tar.gz (1.4 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.4/1.4 MB 172.4 kB/s eta 0:00:00
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... done
Requirement already satisfied: typing-extensions>=4.5.0 in c:\users\desktop\appdata\local\programs\python\python310\lib\site-packages (from llama-cpp-python==0.1.53) (4.6.0)
Building wheels for collected packages: llama-cpp-python
Building wheel for llama-cpp-python (pyproject.toml) ... done
Created wheel for llama-cpp-python: filename=llama_cpp_python-0.1.53-cp310-cp310-win_amd64.whl size=255379 sha256=f12fcbb823810374109b5c1e690570899cb72c73fd03dae1d95fa1b990878dd7
Stored in directory: c:\users\desktop\appdata\local\pip\cache\wheels\a8\92\29\90f6353e5d588d26c7f7d9656951f24b3d0e8eba24f6d6fbce
Successfully built llama-cpp-python
Installing collected packages: llama-cpp-python
Attempting uninstall: llama-cpp-python
Found existing installation: llama-cpp-python 0.1.52
Uninstalling llama-cpp-python-0.1.52:
Successfully uninstalled llama-cpp-python-0.1.52
Successfully installed llama-cpp-python-0.1.53
PS C:\Users\Desktop\Desktop\Demo\privateGPT> python privateGPT.py
Using embedded DuckDB with persistence: data will be stored in: db
llama.cpp: loading model from Models/koala-7B.ggmlv3.q4_0.bin
llama_model_load_internal: format = ggjt v3 (latest)
llama_model_load_internal: n_vocab = 32000
llama_model_load_internal: n_ctx = 1000
llama_model_load_internal: n_embd = 4096
llama_model_load_internal: n_mult = 256
llama_model_load_internal: n_head = 32
llama_model_load_internal: n_layer = 32
llama_model_load_internal: n_rot = 128
llama_model_load_internal: ftype = 2 (mostly Q4_0)
llama_model_load_internal: n_ff = 11008
llama_model_load_internal: n_parts = 1
llama_model_load_internal: model size = 7B
llama_model_load_internal: ggml ctx size = 0.07 MB
llama_model_load_internal: mem required = 5407.71 MB (+ 1026.00 MB per state)
.
llama_init_from_file: kv self size = 500.00 MB
AVX = 1 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 |

Rakeshcool · 2023-05-24T07:07:57Z

yep thanks it worked

aiornothing · 2023-05-30T20:59:07Z

great, <pip install llama-cpp-python==0.1.53> worked for me too!!!

GirishKiranH · 2023-05-31T10:22:09Z

@augusto-rehfeldt am getting similar issue , did it worked for you ? am not able to load ggml-nous-gpt4-vicuna-13b or similar llama models on my M1 Macbook, can anyone help here ?
Am getting below error, i tried llama-cpp-python with both 0.1.53 and 0.1.48 , but no luck

llm = LlamaCpp(model_path=model_path, n_ctx=model_n_ctx, callbacks=callbacks, verbose=False)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "pydantic/main.py", line 341, in pydantic.main.BaseModel.__init__
pydantic.error_wrappers.ValidationError: 1 validation error for LlamaCpp
__root__

TomasMiloCA · 2023-06-06T18:42:08Z

Hello!
I keep getting the (type=value_error) ERROR message when trying to load my GPT4ALL model using the code below:
llama_embeddings = LlamaCppEmbeddings(model_path=GPT4ALL_MODEL_PATH)
I have tried following the steps of installing llama-cpp-python==0.1.48 but it still doesn't work for me. I have also created a new Python environment and this does not work.

Can anyone help?

AviVarma · 2023-06-08T22:00:39Z

Hello! I keep getting the (type=value_error) ERROR message when trying to load my GPT4ALL model using the code below: llama_embeddings = LlamaCppEmbeddings(model_path=GPT4ALL_MODEL_PATH) I have tried following the steps of installing llama-cpp-python==0.1.48 but it still doesn't work for me. I have also created a new Python environment and this does not work.

Can anyone help?

Same here :(

sivgos-tv · 2023-06-14T21:25:53Z

pip install llama-cpp-python==0.1.48 resolved my issue

Thanks. It works on Google Colab.

ErfolgreichCharismatisch · 2023-06-16T22:05:14Z

I tried nous-hermes-13b.ggmlv3.q4_0.bin, got

Using embedded DuckDB with persistence: data will be stored in: db
Found model file.
gptj_model_load: loading model from 'nous-hermes-13b.ggmlv3.q4_0.bin' - please wait ...
gptj_model_load: invalid model file 'nous-hermes-13b.ggmlv3.q4_0.bin' (bad magic)
GPT-J ERROR: failed to load model from nous-hermes-13b.ggmlv3.q4_0.bin

I tried

pip install --upgrade llama-cpp-python

to diskcache-5.6.1 llama-cpp-python-0.1.63

Same error. Ideas?

HoustonMuzamhindo · 2023-06-26T08:06:43Z

ip install llama-cpp-python==0.1.53

I think you are using the wrong model. You shouldn't use the GPT4All for embeddings (I THINK).

agi-dude · 2023-09-20T10:36:26Z

Llama-cpp has dropped support for GGML models. You sould use GGUF files instead.

MohamedZOUABI · 2023-10-03T09:32:48Z

Llama-cpp has dropped support for GGML models. You sould use GGUF files instead.

how can I do that please?

srujan-landeri · 2023-10-03T17:31:50Z

I had similar issue, I have tried installing different versions

pip install llama-cpp-python==0.1.65 --force-reinstall --upgrade --no-cache-dir

this finally worked for me. Hope it helps!

merjekrepo · 2023-10-17T03:03:44Z

installing
pip install llama-cpp-python==0.1.53
solved my same problem too!

srujan-landeri · 2023-10-17T03:09:26Z

Llama-cpp has dropped support for GGML models. You sould use GGUF files instead.

how can I do that please?

Hi refer this documentation https://python.langchain.com/docs/integrations/llms/llamacpp. It clearly specifies how to convert GGML to GGUF

maozdemir · 2023-10-17T04:02:40Z

Llama-cpp has dropped support for GGML models. You sould use GGUF files instead.

how can I do that please?

Hi refer this documentation https://python.langchain.com/docs/integrations/llms/llamacpp. It clearly specifies how to convert GGML to GGUF

TheBloke on HuggingFace constantly maintains various models for multiple playforms, such as Llamacpp, you can just use his models. If you are training your own models you'd be already following such changes or wouldn't be here anyways so...

a-ml · 2023-10-30T18:07:30Z

Upgrading to latest version of llama-cpp solved the issue for me.

imartinez added the primordial Related to the primordial version of PrivateGPT, which is now frozen in favour of the new PrivateGPT label Oct 19, 2023

XPGeek mentioned this issue Jan 11, 2024

macOS specific? tweaks/performance improvements. Leon-Sander/local_multimodal_ai_chat#2

Open

imartinez closed this as completed Feb 7, 2024

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NameError: Could not load Llama model from path: D:\privateGPT\ggml-model-q4_0.bin #113

NameError: Could not load Llama model from path: D:\privateGPT\ggml-model-q4_0.bin #113

michael7908 commented May 14, 2023

michael7908 commented May 14, 2023

Mostajerane commented May 14, 2023

Mostajerane commented May 14, 2023

michael7908 commented May 14, 2023 via email

Mostajerane commented May 14, 2023

pboethig2 commented May 14, 2023

maozdemir commented May 16, 2023

YangZeyu95 commented May 17, 2023 •

edited

ChatTeach commented May 17, 2023

inventivejon commented May 18, 2023

augusto-rehfeldt commented May 21, 2023 •

edited

UnathiNeo commented May 23, 2023

Rakeshcool commented May 24, 2023

aiornothing commented May 30, 2023

GirishKiranH commented May 31, 2023

TomasMiloCA commented Jun 6, 2023

AviVarma commented Jun 8, 2023

sivgos-tv commented Jun 14, 2023

ErfolgreichCharismatisch commented Jun 16, 2023

HoustonMuzamhindo commented Jun 26, 2023

agi-dude commented Sep 20, 2023

MohamedZOUABI commented Oct 3, 2023

srujan-landeri commented Oct 3, 2023

merjekrepo commented Oct 17, 2023

srujan-landeri commented Oct 17, 2023

maozdemir commented Oct 17, 2023

a-ml commented Oct 30, 2023

NameError: Could not load Llama model from path: D:\privateGPT\ggml-model-q4_0.bin #113

NameError: Could not load Llama model from path: D:\privateGPT\ggml-model-q4_0.bin #113

Comments

michael7908 commented May 14, 2023

michael7908 commented May 14, 2023

Mostajerane commented May 14, 2023

Mostajerane commented May 14, 2023

michael7908 commented May 14, 2023 via email

Mostajerane commented May 14, 2023

pboethig2 commented May 14, 2023

maozdemir commented May 16, 2023

YangZeyu95 commented May 17, 2023 • edited

ChatTeach commented May 17, 2023

inventivejon commented May 18, 2023

augusto-rehfeldt commented May 21, 2023 • edited

UnathiNeo commented May 23, 2023

Rakeshcool commented May 24, 2023

aiornothing commented May 30, 2023

GirishKiranH commented May 31, 2023

TomasMiloCA commented Jun 6, 2023

AviVarma commented Jun 8, 2023

sivgos-tv commented Jun 14, 2023

ErfolgreichCharismatisch commented Jun 16, 2023

HoustonMuzamhindo commented Jun 26, 2023

agi-dude commented Sep 20, 2023

MohamedZOUABI commented Oct 3, 2023

srujan-landeri commented Oct 3, 2023

merjekrepo commented Oct 17, 2023

srujan-landeri commented Oct 17, 2023

maozdemir commented Oct 17, 2023

a-ml commented Oct 30, 2023

YangZeyu95 commented May 17, 2023 •

edited

augusto-rehfeldt commented May 21, 2023 •

edited