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

[michael7908]

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: https://github.com/ggerganov/llama.cpp/pull/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]

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 https://github.com/ggerganov/llama.cpp/pull/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]

I also have the same issue, can anyone help?

[Mostajerane]

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

[michael7908]

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 https://github.com/imartinez/privateGPT/issues/113#issuecomment-1546896601, or unsubscribe https://github.com/notifications/unsubscribe-auth/AG3L6MEAAEXA3UWHWHV7TKDXGDKF3ANCNFSM6AAAAAAYBBI3TY . You are receiving this because you were mentioned.Message ID: @.***>

[Mostajerane]

Yes

[pboethig2]

use conda an conda create

[maozdemir]

Creating a new environment is not a solution. See https://github.com/ggerganov/llama.cpp/pull/1305

[YangZeyu95]

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

[ChatTeach]

ya...its very useful.

i solved my issue.

[inventivejon]

It also solved it for me

[augusto-rehfeldt]

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]

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]

yep thanks it worked

[aiornothing]

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

[GirishKiranH]

@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]

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]

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]

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

Thanks. It works on Google Colab.

[ErfolgreichCharismatisch]

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]

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).

[umar-mq]

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

[MohamedZOUABI]

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

how can I do that please?

[srujan-landeri]

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]

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

[srujan-landeri]

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]

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]

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