id stringlengths 7 11 | source stringclasses 1
value | category stringclasses 11
values | title stringlengths 15 214 | text stringlengths 70 30.5k | url stringlengths 57 160 | tags stringlengths 3 113 | created_at int64 1.22B 1.79B |
|---|---|---|---|---|---|---|---|
se_79344565 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Using `bitsandbytes` 4-bit quantization requires the latest version of bitsandbytes: `pip install -U bitsandbytes` | Using `bitsandbytes` 4-bit quantization requires the latest version of bitsandbytes: `pip install -U bitsandbytes`
While loading the tokenizer, I received this error:
ImportError: Using bitsandbytes 4-bit quantization requires the latest version of bitsandbytes:
pip install -U bitsandbytes.
I am using Jupyter notebo... | https://stackoverflow.com/questions/79344565/using-bitsandbytes-4-bit-quantization-requires-the-latest-version-of-bitsandby | python, machine-learning, huggingface-transformers, large-language-model, fine-tuning | 1,736,481,161 |
se_79462290 | stackoverflow | ARTIFICIAL_INTELLIGENCE | where does ollama get the parameters to run the model with automatic1111 | where does ollama get the parameters to run the model with automatic1111
I tried to start image generation via chat in OpenWebUI on AUTOMATIC1111 (Schedule type: Кarras, Sampling method: DPM++ 2M, CFG Scale: 5.5, W:768, H:768, Sampling Steps: 20), and after ~20 seconds I got an image, but the VRAM resource was not rel... | https://stackoverflow.com/questions/79462290/where-does-ollama-get-the-parameters-to-run-the-model-with-automatic1111 | large-language-model, ollama, stable-diffusion | 1,740,361,778 |
se_79599581 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to safely cancel a running Hugging Face text generation mid-inference without restarting the whole server? | How to safely cancel a running Hugging Face text generation mid-inference without restarting the whole server?
When running large models with Hugging Face's generate() function, if a user decides to cancel a request (e.g., UI "stop" button), the server has no way to interrupt an ongoing generate() call.
Currently, it ... | https://stackoverflow.com/questions/79599581/how-to-safely-cancel-a-running-hugging-face-text-generation-mid-inference-withou | python, huggingface-transformers, large-language-model | 1,745,989,912 |
se_79595929 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Warm up HuggingFace Transformers models efficiently to reduce first-token latency in production | Warm up HuggingFace Transformers models efficiently to reduce first-token latency in production
In production deployment of Hugging Face LLMs, the first inference call often has very high latency ("cold start"), even on a machine where the model is already loaded into memory.
Subsequent calls are much faster.
I want t... | https://stackoverflow.com/questions/79595929/warm-up-huggingface-transformers-models-efficiently-to-reduce-first-token-latenc | python, huggingface-transformers, large-language-model, latency | 1,745,822,984 |
se_79596520 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Where to import the models for DeepSeek VL2 from? | Where to import the models for DeepSeek VL2 from?
I am trying to run the DeepSeek VL2 model (tiny version) locally and use the following code found on Huggingface:
import torch
from transformers import AutoModelForCausalLM
from deepseek_vl.models import DeepseekVLV2Processor, DeepseekVLV2ForCausalLM
from deepseek_vl.... | https://stackoverflow.com/questions/79596520/where-to-import-the-models-for-deepseek-vl2-from | python, huggingface-transformers, large-language-model, deepseek | 1,745,844,717 |
se_79565168 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Langchain Agent: No Attribute Error : OpenAPIAgent | Langchain Agent: No Attribute Error : OpenAPIAgent
I'm building a OpenAPI Agent using langchain's OpenAPIAgent. When I try to create the agent with below code. It's throwin AttributeError. I am using simple petstore openapi specification to build this agent. Expectation would be based on user query it calls API and re... | https://stackoverflow.com/questions/79565168/langchain-agent-no-attribute-error-openapiagent | python, langchain, large-language-model, ollama, langchain-agents | 1,744,225,784 |
se_79590018 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Deploy an opensource LLM in Azure ecosystem and create an api endpoint | Deploy an opensource LLM in Azure ecosystem and create an api endpoint
I am looking to deploy an open-source LLM like Gemma3 4b in the Azure ecosystem. I couldn't find this specific model in the model catalog of Azure Machine Learning Studio. I usually run these models using LM Studio or Ollama on my local PC, but I w... | https://stackoverflow.com/questions/79590018/deploy-an-opensource-llm-in-azure-ecosystem-and-create-an-api-endpoint | azure, open-source, large-language-model, azure-machine-learning-service, gemma | 1,745,479,195 |
se_79595144 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Can we have to runnable in runnableparallel? | Can we have to runnable in runnableparallel?
I found this code on the internet :
qa_chain = (
RunnableParallel({
"context": itemgetter("question") | retriever,
"question": itemgetter("question")
})
| {
"response": prompt | llm,
"context": itemgett... | https://stackoverflow.com/questions/79595144/can-we-have-to-runnable-in-runnableparallel | langchain, large-language-model | 1,745,765,007 |
se_79583977 | stackoverflow | ARTIFICIAL_INTELLIGENCE | No stopping token generated by Llama-3.2-1B-Instruct | No stopping token generated by Llama-3.2-1B-Instruct
I am experimenting with Llama-3.2-1B-Instruct for learning purposes. When I try to implement a simple re-write task with Hugging Face transformers, I get a weird result when the model does not generate a stopping token so the response goes on until the max_new_token... | https://stackoverflow.com/questions/79583977/no-stopping-token-generated-by-llama-3-2-1b-instruct | huggingface-transformers, large-language-model, llama | 1,745,205,018 |
se_79591974 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Error Running OCR with Qwen2.5-VL in Colab | Error Running OCR with Qwen2.5-VL in Colab
I am trying to run the OCR functionality of Qwen2.5-VL by following the tutorial provided in this notebook: OCR Tutorial Notebook
However, I am encountering an error when attempting to execute the code. Here are the details:
Steps Taken:
I opened the notebook in Google Colab... | https://stackoverflow.com/questions/79591974/error-running-ocr-with-qwen2-5-vl-in-colab | python, gpu, ocr, large-language-model | 1,745,564,718 |
se_78747780 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Meta Llama-3 prompt sample | Meta Llama-3 prompt sample
I am trying to ask Llama-3 model to read a document and then answer my questions, but my code seems does not generate any output. Can someone tell me what’s wrong with the code? I appreciate it.
Code:
from huggingface_hub import login
login(token=‘my_token’)
import transformers
import torch
... | https://stackoverflow.com/questions/78747780/meta-llama-3-prompt-sample | large-language-model, llama | 1,721,007,400 |
se_77842203 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ValidationError: 2 validation errors for LLMChain | ValidationError: 2 validation errors for LLMChain
This is my complete code:
!pip install -q transformers einops accelerate langchain bitsandbytes sentence_transformers faiss-cpu pypdf sentencepiece
from langchain import HuggingFacePipeline
from transformers import AutoTokenizer
from langchain.embeddings impo... | https://stackoverflow.com/questions/77842203/validationerror-2-validation-errors-for-llmchain | python, machine-learning, deep-learning, langchain, large-language-model | 1,705,609,248 |
se_79129165 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to make a llm remember previous runtime chats | How to make a llm remember previous runtime chats
I want my llm chatbot to remember previous conversations even after restarting the program. It is made with llama cpp python and langchain, it has conversation memory of the present chat but obviously doesn't have memory of the previous chat and that's what I need help... | https://stackoverflow.com/questions/79129165/how-to-make-a-llm-remember-previous-runtime-chats | langchain, large-language-model, llama-cpp-python | 1,729,965,726 |
se_79547235 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Serving models using VLLM on Huggingface Spaces | Serving models using VLLM on Huggingface Spaces
Hi everyone so I'm trying to serve models on huggingface using docker and vllm, but am encountering model config errors and unknown model errors, I'm using the latest version of vllm and have tried mistral 7b v0.2 and v0.3 and Qwen2.5-Coder-32B.
My DockerFile looks like ... | https://stackoverflow.com/questions/79547235/serving-models-using-vllm-on-huggingface-spaces | docker, large-language-model, huggingface, vllm | 1,743,453,966 |
se_79587135 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to Match Claude.ai Response Quality Using the Anthropic API? | How to Match Claude.ai Response Quality Using the Anthropic API?
How to Match Claude.ai Response Quality Using the Anthropic API?
When I use https://claude.ai, the responses are significantly more thoughtful and structured. However, when using the Anthropic API, the output quality is noticeably lower—even though I’m u... | https://stackoverflow.com/questions/79587135/how-to-match-claude-ai-response-quality-using-the-anthropic-api | large-language-model, claude | 1,745,343,675 |
se_78008119 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Huggingface transformer train function throwing Device() received an invalid combination of arguments | Huggingface transformer train function throwing Device() received an invalid combination of arguments
I was trying to train a model with peft qLora training. Lora config and peft training args are like below:
lora_config = LoraConfig(
r=8,
lora_alpha=16,
target_modules=[
"q_proj",
"k_proj",... | https://stackoverflow.com/questions/78008119/huggingface-transformer-train-function-throwing-device-received-an-invalid-com | pytorch, huggingface-transformers, large-language-model, llama, peft | 1,708,094,395 |
se_79532526 | stackoverflow | ARTIFICIAL_INTELLIGENCE | LangGraph: How to trigger external side effects before entering a specific node? | LangGraph: How to trigger external side effects before entering a specific node?
I'm building a chatbot using LangGraph for Node.js, and I'm trying to improve the user experience by showing a typing... indicator before the assistant actually generates a response.
The problem is: I only want to trigger this sendTyping(... | https://stackoverflow.com/questions/79532526/langgraph-how-to-trigger-external-side-effects-before-entering-a-specific-node | node.js, langchain, large-language-model, langgraph, langchain-agents | 1,742,867,205 |
se_79581448 | stackoverflow | ARTIFICIAL_INTELLIGENCE | passing correct context to the model via the Ollama api | passing correct context to the model via the Ollama api
I am teaching myself LLM programming by developing a RAG application. I am running Llama 3.2 on my laptop using Ollama, and using a mix of SQLite and langchain.
I can pass a context to the llm along with my question so the model uses the context for generating an... | https://stackoverflow.com/questions/79581448/passing-correct-context-to-the-model-via-the-ollama-api | node.js, langchain, large-language-model, ollama, llama3 | 1,744,996,046 |
se_79018435 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Langraph - tools_condition - conditional edge | Langraph - tools_condition - conditional edge
I am new to langgraph (python) and trying to go through some examples found in Langgraph pages.
My code looks like below:
class State(TypedDict):
summary: str
messages: list
def summarize_conversation(state: State):
# First, we summarize the conversation
s... | https://stackoverflow.com/questions/79018435/langraph-tools-condition-conditional-edge | python, chatbot, large-language-model, edges, langgraph | 1,727,178,030 |
se_79576039 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Langgraph: How to retrieve and store chat history throughout the session | Langgraph: How to retrieve and store chat history throughout the session
I am new to the Langgraph.
I am trying to retrieve chathistory from state into a variable untill the session close.
below what i have tried
llm = ChatOpenAI(temperature=1.0)
class State(TypedDict):
messages : Annotated[list, add_messages]
g... | https://stackoverflow.com/questions/79576039/langgraph-how-to-retrieve-and-store-chat-history-throughout-the-session | python, artificial-intelligence, langchain, large-language-model, langgraph | 1,744,751,895 |
se_79537151 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to incorporate additional data in fine tuning LLM | How to incorporate additional data in fine tuning LLM
My goal is to create a chat bot specialized in answering questions related to diabetes.
I am new to fine tuning and have a couple questions before I begin. My question is about the dataset format and the underlying model I should use.
I want to fine tune the LLM on... | https://stackoverflow.com/questions/79537151/how-to-incorporate-additional-data-in-fine-tuning-llm | large-language-model, llama, fine-tuning | 1,743,019,030 |
se_79576484 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why does Groq return "tool_use_failed" error when using instructor with a valid response model, even though function call output looks correct? | Why does Groq return "tool_use_failed" error when using instructor with a valid response model, even though function call output looks correct?
I'm deploying a Python FastAPI app on Render, and I'm using the instructor library to parse LLM responses into a Pydantic model using Groq's API. Locally, everything... | https://stackoverflow.com/questions/79576484/why-does-groq-return-tool-use-failed-error-when-using-instructor-with-a-valid | rest, backend, fastapi, large-language-model, groq | 1,744,782,895 |
se_78737510 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Unable to make llama.cpp on M1 Mac | Unable to make llama.cpp on M1 Mac
When I try installing Llam.cpp, I get the following error:
ld: warning: ignoring file '/Users/krishparikh/Projects/LLM/llama.cpp/ggml/src/ggml-metal-embed.o': found architecture 'x86_64', required architecture 'arm64'
Undefined symbols for architecture arm64:
"_ggml_metallib_end", ... | https://stackoverflow.com/questions/78737510/unable-to-make-llama-cpp-on-m1-mac | apple-m1, large-language-model, llama, llama-cpp-python, llamacpp | 1,720,728,681 |
se_79524584 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Snowflake Cortex Search -- applying custom dimensions like "popularity" | Snowflake Cortex Search -- applying custom dimensions like "popularity"
A blog here https://www.snowflake.com/en/engineering-blog/ecommerce-search-intelligent-ranking-made-simple/ mentions integrating 'engagement' scores such as ratings or purchases or article hits or whatever in refining Snowflake's Cortex ... | https://stackoverflow.com/questions/79524584/snowflake-cortex-search-applying-custom-dimensions-like-popularity | search, snowflake-cloud-data-platform, large-language-model | 1,742,533,645 |
se_79428475 | stackoverflow | ARTIFICIAL_INTELLIGENCE | AWS Bedrock: cannot invoke Anthropic Claude Sonnet 3.5 v2 model, raises error "Invocation of model ID with on-demand throughput isn’t supported." | AWS Bedrock: cannot invoke Anthropic Claude Sonnet 3.5 v2 model, raises error "Invocation of model ID with on-demand throughput isn’t supported."
I am trying to invoke the Anthropic Claude Sonnet 3.5 v2 model in AWS Bedrock. Here is my code (in Python using Boto3):
import boto3
import json
bedrock_runtime =... | https://stackoverflow.com/questions/79428475/aws-bedrock-cannot-invoke-anthropic-claude-sonnet-3-5-v2-model-raises-error-i | amazon-web-services, large-language-model, amazon-bedrock, claude | 1,739,227,067 |
se_76630950 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Fit the chat response into a list in GPT API | Fit the chat response into a list in GPT API
I'm trying to get the emotion in a text using chatgpt API
def infer_feeling(text):
prompt = f"What feeling is filled in the following text?\nText: {text}\nFeeling:"
response = openai.ChatCompletion.create(
model=model,
messages=[
{"role"... | https://stackoverflow.com/questions/76630950/fit-the-chat-response-into-a-list-in-gpt-api | python, openai-api, chatgpt-api, large-language-model | 1,688,661,815 |
se_78298807 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Understanding pydantic output parser from an LLM output | Understanding pydantic output parser from an LLM output
I have a problem understanding output parsers (especially (pydanticoutputparser) and what are there capabilities. I make a query from my llm to parse some data with this pydantic object :
class Diploma(BaseModel):
diploma_name: Optional[str] = Field(None, de... | https://stackoverflow.com/questions/78298807/understanding-pydantic-output-parser-from-an-llm-output | parsing, pydantic, langchain, large-language-model | 1,712,669,293 |
se_77940468 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Evaluation of answers obtained from RAG architecture with RAGAS without OPENAI keys | Evaluation of answers obtained from RAG architecture with RAGAS without OPENAI keys
I have used Llama2 open source models for creating a chatbot for my personal documents using RAG architecture. I wish to evaluate the results obtained from RAG architecture with evaluation metrics , may be from RAGAS module. But it ins... | https://stackoverflow.com/questions/77940468/evaluation-of-answers-obtained-from-rag-architecture-with-ragas-without-openai-k | openai-api, langchain, evaluation, large-language-model, llama | 1,707,131,602 |
se_79551930 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to parse Azure TTS streaming text input response with websocket? | How to parse Azure TTS streaming text input response with websocket?
I want to use this feature to build my app, but since I'm coding with JS and there is no streaming text input in JS sdk, so I'm tring to made it on my own, I find some way to get the response from the Azure service, it looks like:
X-RequestId:0db8038... | https://stackoverflow.com/questions/79551930/how-to-parse-azure-tts-streaming-text-input-response-with-websocket | azure, text-to-speech, large-language-model | 1,743,650,428 |
se_79563033 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Passing image in Google drive to multimodal LLM | Passing image in Google drive to multimodal LLM
I'm trying to upload an image from Google drive to an LLM from analysis. I have the working code below:
function openRouterApiRequest() {
var apiKey = "****";
// var imageUrl = 'https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-na... | https://stackoverflow.com/questions/79563033/passing-image-in-google-drive-to-multimodal-llm | javascript, google-apps-script, google-drive-api, large-language-model | 1,744,145,255 |
se_78332474 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Is there any method to fully load the GGUF models on GPU | Is there any method to fully load the GGUF models on GPU
I have been using LlamaCPP to load my llm models, the llama-index library provides methods to offload some layers onto the GPU. Why does it not provide any methods to fully load the model on GPU. If there is some method Please help.
LlamaCPP method
Here we have ... | https://stackoverflow.com/questions/78332474/is-there-any-method-to-fully-load-the-gguf-models-on-gpu | python, large-language-model, huggingface, llama-index, llamacpp | 1,713,248,163 |
se_79558398 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to make Langchain4j's TokenStream work with StreamingChatLanguageModel using ToolProvider? | How to make Langchain4j's TokenStream work with StreamingChatLanguageModel using ToolProvider?
Im using the code below to generate an answer from Anthropic's Sonnet 3-7. When I add a tools/toolProvider to my streamAssistant, the code breaks every time I run a prompt that depends on a tool call.
val model: Streamin... | https://stackoverflow.com/questions/79558398/how-to-make-langchain4js-tokenstream-work-with-streamingchatlanguagemodel-using | kotlin, streaming, large-language-model, langchain4j | 1,743,953,840 |
se_79384059 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to Locate the Memory Directory in CrewAI and Use a Custom Directory? | How to Locate the Memory Directory in CrewAI and Use a Custom Directory?
In CrewAI, when using memory=True for agents, where is the memory data stored by default? Is it possible to specify a custom directory for storing agent memory? | https://stackoverflow.com/questions/79384059/how-to-locate-the-memory-directory-in-crewai-and-use-a-custom-directory | large-language-model, agent, multi-agent, crewai | 1,737,715,764 |
se_79552416 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Ollama run model failed with message "this model may be incompatible" | Ollama run model failed with message "this model may be incompatible"
OS: Linux container of Docker Desktop 4.39.0 in Mac OSX 12.7
Ollama version: 0.0.0
Just downloaded model "Gemma3:latest" successfully:
But can't run in the same bash terminal, got an error message like this (and can't be fixed by rerun "o... | https://stackoverflow.com/questions/79552416/ollama-run-model-failed-with-message-this-model-may-be-incompatible | large-language-model, ollama | 1,743,669,802 |
se_79501178 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Store images instead of showing in a server | Store images instead of showing in a server
I am running the code found on this site in my server and I would like to store images instead of showing them since I have connected remotely with an ssh connection to my server via an SSH connection.
The code is for instance this one:
skip_tokens = [1] # skip the special ... | https://stackoverflow.com/questions/79501178/store-images-instead-of-showing-in-a-server | python, nlp, large-language-model | 1,741,704,631 |
se_79556171 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Inconsistent Results with Llama index parser? | Inconsistent Results with Llama index parser?
My team and I are using LlamaIndex's LlamaParse to read in PowerPoint documents. We've noticed inconsistency issues when running the same user_prompt setup for multiple files in one run.
We have a small pipeline set up to run through each PowerPoint file in a file path, pa... | https://stackoverflow.com/questions/79556171/inconsistent-results-with-llama-index-parser | python, parsing, powerpoint, large-language-model, llama-index | 1,743,796,984 |
se_78561599 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Crewai - Can I use a Custom embedder in the crewai_tools? | Crewai - Can I use a Custom embedder in the crewai_tools?
I am trying to use the the crewai_tools, the RAG tools in particular. Lets take the DirectorySearchTool() in this case.
How do I use a custom embedder provider? The only options that embed chain have are from the following list. 'openai', 'gpt4all', 'huggingfac... | https://stackoverflow.com/questions/78561599/crewai-can-i-use-a-custom-embedder-in-the-crewai-tools | large-language-model, multi-agent, crewai | 1,717,179,327 |
se_79050217 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Has anyone successfully converted a PyTorch-based LLM to ONNX Runtime to reduce file size? | Has anyone successfully converted a PyTorch-based LLM to ONNX Runtime to reduce file size?
I’m exploring the idea of converting PyTorch and TensorFlow models to ONNX Runtime to optimize performance and reduce file sizes. Since most large language models (LLMs) are built using PyTorch, I was wondering if anyone has suc... | https://stackoverflow.com/questions/79050217/has-anyone-successfully-converted-a-pytorch-based-llm-to-onnx-runtime-to-reduce | pytorch, large-language-model, onnx, onnxruntime | 1,727,953,201 |
se_79547571 | stackoverflow | ARTIFICIAL_INTELLIGENCE | LLM caused VS Code to be suddenly closed | LLM caused VS Code to be suddenly closed
I installed and run gemma3 with Python, and I was using VS Code editor. I programmed it to receive output in structured format, and when I asked the LLM to generate two class instances, it successfully did that. But when I asked it to generate 30 instances, the execution time t... | https://stackoverflow.com/questions/79547571/llm-caused-vs-code-to-be-suddenly-closed | python, large-language-model | 1,743,471,758 |
se_79538530 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Agents - Facilitating tool calling and underuse of tools with LiteLLM and Gemini | Agents - Facilitating tool calling and underuse of tools with LiteLLM and Gemini
I am using LiteLLM and Gemini-2.0-Flash to make an agent that is used to solve simple terminal queries (e.g. Find and list the contents of the file "cat.txt").
I've defined the tools, and the goal is for the LLM agent to make use of them ... | https://stackoverflow.com/questions/79538530/agents-facilitating-tool-calling-and-underuse-of-tools-with-litellm-and-gemini | python, large-language-model, agent, litellm | 1,743,070,646 |
se_79542324 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Constrain Llama3.2-vision output to a list of options | Constrain Llama3.2-vision output to a list of options
I have several images of animals in the same directory as the script. How can I modify the following script to process an image but force the output to only be a single selection from a list:
from pathlib import Path
import base64
import requests
def encode_image_... | https://stackoverflow.com/questions/79542324/constrain-llama3-2-vision-output-to-a-list-of-options | python, large-language-model, ollama | 1,743,192,066 |
se_79503213 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Does gemini provide async prompting like anthropic and openai? | Does gemini provide async prompting like anthropic and openai?
I've been using gemini for the summarization of multi-page pdfs and using the chunking technique, but as the parallel processing is being managed through the code, it's a bit slower. I believe Async API will solve my problem, but I couldn't find it in the ... | https://stackoverflow.com/questions/79503213/does-gemini-provide-async-prompting-like-anthropic-and-openai | google-cloud-platform, large-language-model, google-gemini | 1,741,773,488 |
se_78357062 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ImportError: Could not import chromadb python package. Please install it with `pip install chromadb` | ImportError: Could not import chromadb python package. Please install it with `pip install chromadb`
I am trying to build a Chat PDF application using langchain,
During this I installed all the necessary packages, but there is one issue with this chromadb, which no matter what I do, it keeps showing the error.
I insta... | https://stackoverflow.com/questions/78357062/importerror-could-not-import-chromadb-python-package-please-install-it-with-p | langchain, large-language-model, chromadb | 1,713,590,112 |
se_79535790 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to Reduce time when formatting the Cypher result? | How to Reduce time when formatting the Cypher result?
I'm retrieving results from a Cypher query, which includes the article's date and text.
After fetching the results, I'm formatting them before passing them to the LLM for response generation. Currently, I'm using the following approach for formatting:
context_text ... | https://stackoverflow.com/questions/79535790/how-to-reduce-time-when-formatting-the-cypher-result | python, large-language-model, rag | 1,742,977,431 |
se_79513881 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to Fine-Tune Projection Layer in CLIP Model Using LoRA? | How to Fine-Tune Projection Layer in CLIP Model Using LoRA?
I'm trying to fine-tune the projection layers in the CLIP model using LoRA.
I need help identifying the exact projection layers to modify for my fine-tuning and how I can apply LoRA to them.
Model loading:
import clip
device = "cuda" if torch.cuda.is_availab... | https://stackoverflow.com/questions/79513881/how-to-fine-tune-projection-layer-in-clip-model-using-lora | nlp, artificial-intelligence, large-language-model, image-text | 1,742,197,071 |
se_78321978 | stackoverflow | ARTIFICIAL_INTELLIGENCE | 'Chroma' object has no attribute 'persist' | 'Chroma' object has no attribute 'persist'
I'm persisting the Chroma Database but it's giving me an error.
I'm basically redoing what's in this link.
https://github.com/hwchase17/chroma-langchain/blob/master/persistent-qa.ipynb
Is there any update in chromadb version and they have removed persist I don... | https://stackoverflow.com/questions/78321978/chroma-object-has-no-attribute-persist | langchain, large-language-model, persist, chromadb, vector-database | 1,713,041,220 |
se_79131911 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to replace the deprecated 'conversational' pipeline in Hugging Face Transformers? | How to replace the deprecated 'conversational' pipeline in Hugging Face Transformers?
I'm working on a chatbot using Hugging Face's Transformers library. I was previously using the conversational pipeline, but it seems that it has been deprecated. Here is the code I was using:
# Initialize the conversational p... | https://stackoverflow.com/questions/79131911/how-to-replace-the-deprecated-conversational-pipeline-in-hugging-face-transfor | python, huggingface-transformers, large-language-model | 1,730,082,528 |
se_79528211 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Florence2 Torch JiT Inference | Florence2 Torch JiT Inference
I am using the Florence2 model and trying to speed up inference through torch.jit.trace()
Orig model -
import torch
from transformers import AutoProcessor, AutoModelForCausalLM
from PIL import Image
model = AutoModelForCausalLM.from_pretrained(
"microsoft/Florence-2-large",
torch... | https://stackoverflow.com/questions/79528211/florence2-torch-jit-inference | pytorch, torch, large-language-model, huggingface | 1,742,682,607 |
se_77503261 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Changing examples value in langchain chain | Changing examples value in langchain chain
Assuming we have langchain chain my_chain created using my_schema via:
from langchain.chat_models import ChatOpenAI
from kor.extraction import create_extraction_chain
from kor.nodes import Object, Text, Number
from langchain.chat.models import ChatOpenAI
from langchain.llms ... | https://stackoverflow.com/questions/77503261/changing-examples-value-in-langchain-chain | python, nlp, langchain, large-language-model, chatgpt-api | 1,700,238,992 |
se_79280850 | stackoverflow | ARTIFICIAL_INTELLIGENCE | langchain_ollama attach image to prompt | langchain_ollama attach image to prompt
I'm expirementing with llama 3.2 vision 11B and I'm having a bit of a rough time attaching an image, wether it's local or online, to the chat. Here's my Python code:
import io
import base64
import requests
from PIL import Image
from langchain_ollama import OllamaLLM
from langcha... | https://stackoverflow.com/questions/79280850/langchain-ollama-attach-image-to-prompt | large-language-model, llama, ollama, multimodal | 1,734,188,416 |
se_79522921 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Add new field in existing FAISS vector store | Add new field in existing FAISS vector store
I have a csv file containing multiple fields and from that I am only adding the first_name & last_name and making unique id using uuid to the vectorstore. I want to add one more field from my csv to this vector only.
This is my code which I wrote in order to make the vector... | https://stackoverflow.com/questions/79522921/add-new-field-in-existing-faiss-vector-store | python, langchain, large-language-model, faiss | 1,742,473,300 |
se_76853170 | stackoverflow | ARTIFICIAL_INTELLIGENCE | setting temperature in Open Llama does not work | setting temperature in Open Llama does not work
I try to generate several alternative continuations of given prompt with Open Llama, setting nonzero temperature:
import re
import torch
from transformers import LlamaTokenizer, LlamaForCausalLM
model_path = 'openlm-research/open_llama_3b_v2'
tokenizer = LlamaTokenizer... | https://stackoverflow.com/questions/76853170/setting-temperature-in-open-llama-does-not-work | python, large-language-model | 1,691,422,362 |
se_79517603 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Use multiple API model providers with aider | Use multiple API model providers with aider
Is it possible to use aider with the weak model from OpenAI and the default model form glhf.chat (and possibly the code model from another provider)? How?
My current configuration is as follow:
~/aider.conf.yml
openai-api-base: https://glhf.chat/api/openai/v1
openai-api-key:... | https://stackoverflow.com/questions/79517603/use-multiple-api-model-providers-with-aider | configuration, large-language-model, aider | 1,742,304,656 |
se_79517581 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Configure Aider with custom models? | Configure Aider with custom models?
I would like to use Aider with models hosted on glhf.chat.
I use this configuration:
~/aider.conf.yml
openai-api-base: https://glhf.chat/api/openai/v1
openai-api-key: glhf_MY_SECRET_API_KEY
model-settings-file: ~/.aider.model.settings.yml
model: deepseek-ai/DeepSeek-R1
weak-model: d... | https://stackoverflow.com/questions/79517581/configure-aider-with-custom-models | configuration, large-language-model, aider | 1,742,304,153 |
se_79518779 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Output inconsistency when using LLM batch inference compared to single input | Output inconsistency when using LLM batch inference compared to single input
I found single LLM input get different output logits when merging into a batch for inference.
Besides, I need to use inputs_embeds as model input.
My test LLM is "Qwen/Qwen2.5-1.5B-Instruct" and the test code is below.
from transformers impor... | https://stackoverflow.com/questions/79518779/output-inconsistency-when-using-llm-batch-inference-compared-to-single-input | pytorch, huggingface-transformers, large-language-model | 1,742,338,710 |
se_79434482 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Trouble understanding the formula for estimating dense self-attention FLOPS per Token given as 6LH(2QT) | Trouble understanding the formula for estimating dense self-attention FLOPS per Token given as 6LH(2QT)
In the appendix B of the PaLM paper (https://arxiv.org/pdf/2204.02311) it describes a metric called "Model Flops Utilization (MFU)" and the formula for estimating it. It's computation makes use of the stated fact th... | https://stackoverflow.com/questions/79434482/trouble-understanding-the-formula-for-estimating-dense-self-attention-flops-per | large-language-model, transformer-model, attention-model, self-attention | 1,739,395,337 |
se_79490610 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How do I get google/gemma-2-2b to strictly follow my prompt in Hugging Face Transformers? | How do I get google/gemma-2-2b to strictly follow my prompt in Hugging Face Transformers?
I'm using the following code to send a prompt to the "google/gemma-2-2b" model via Hugging Face's Transformers pipeline:
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
import torch
HUGGINGFACE_TOKEN = "<m... | https://stackoverflow.com/questions/79490610/how-do-i-get-google-gemma-2-2b-to-strictly-follow-my-prompt-in-hugging-face-tran | python, prompt, large-language-model | 1,741,292,674 |
se_79232737 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Cannot submit chat request to VLLM Pixtral in Python using MistralAI | Cannot submit chat request to VLLM Pixtral in Python using MistralAI
I have a Pixtral server running locally.
I have installed mistralai 1.2.3 on MacOS and am trying to interact with the server.
When I run
curl -X POST http://localhost:8000/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{"mo... | https://stackoverflow.com/questions/79232737/cannot-submit-chat-request-to-vllm-pixtral-in-python-using-mistralai | python, large-language-model, vllm | 1,732,773,630 |
se_79514617 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to upload local LLM to private JFrog huggingface-ml repository? | How to upload local LLM to private JFrog huggingface-ml repository?
I want to upload a local LLM to a private Jfrog "huggingface-ml" repository.
First I have installed the HF python client:
python3 -m pip install "huggingface_hub[cli]"
With this client in place, I have created a simple download script to get unsloth/... | https://stackoverflow.com/questions/79514617/how-to-upload-local-llm-to-private-jfrog-huggingface-ml-repository | python, artifactory, large-language-model, huggingface | 1,742,215,792 |
se_78571639 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How can I achieve persistent storage for colBERT embeddings? | How can I achieve persistent storage for colBERT embeddings?
I am trying to develop a RAG pipeline with colBERT as embedding. I want to have a searchable, persistent storage of the knowledge base. How can I achieve that? I could see that RAGatouille framework provides an option to use FAISS for vector store. But could... | https://stackoverflow.com/questions/78571639/how-can-i-achieve-persistent-storage-for-colbert-embeddings | large-language-model, openaiembeddings | 1,717,433,897 |
se_78377461 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Max len error when using Huggingface model | Max len error when using Huggingface model
I am getting the issue
lm = VLLM(
File "/home/ubuntu/isolated_product_description/ipd/lib/python3.8/site-packages/langchain_core/load/serializable.py", line 120, in __init__
super().__init__(**kwargs)
File "/home/ubuntu/isolated_product_description/ipd/lib/python3.8/s... | https://stackoverflow.com/questions/78377461/max-len-error-when-using-huggingface-model | langchain, large-language-model, vllm | 1,713,952,106 |
se_79509243 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to Use Template in Langchain to Insert Results from Chain for Further Reasoning? | How to Use Template in Langchain to Insert Results from Chain for Further Reasoning?
I'm working with Langchain and OpenAI to develop a conversational AI. I've integrated multiple tools into the chain and am using a template to structure the conversation. However, I'm stuck on how to use the results from the chain (ch... | https://stackoverflow.com/questions/79509243/how-to-use-template-in-langchain-to-insert-results-from-chain-for-further-reason | python, artificial-intelligence, chatbot, langchain, large-language-model | 1,741,959,732 |
se_78216871 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Integrating llama index vectorstoreindex with Langchain agents for RAG Applications | Integrating llama index vectorstoreindex with Langchain agents for RAG Applications
I have been reading the documentation all day and can't seem to wrap my head around how I can create a VectorStoreIndex with llama_index and use the created embeddings as supplemental information for a RAG application/chatbot that can ... | https://stackoverflow.com/questions/78216871/integrating-llama-index-vectorstoreindex-with-langchain-agents-for-rag-applicati | python, langchain, embedding, large-language-model, llama-index | 1,711,335,018 |
se_79505679 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Meta llama 3.2 3b model local download | Meta llama 3.2 3b model local download
I am installed the llamma3.2 model from meta directly and got it in this format
-a---- 3/10/2025 3:22 PM 209 checklist.chk
-a---- 3/10/2025 9:47 AM 6425585114 consolidated.00.pth
-a---- 3/10/2025 9:27 AM 220 params.json
-a--... | https://stackoverflow.com/questions/79505679/meta-llama-3-2-3b-model-local-download | python, large-language-model, llama | 1,741,850,475 |
se_78446414 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Error Loading "sentence-transformers/all-MiniLM-L6-v2" | Error Loading "sentence-transformers/all-MiniLM-L6-v2"
I have built a document question-answering system using llama-2, but while downloading the embedding model, I am getting an OSError.
OSError: We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the cached files and it l... | https://stackoverflow.com/questions/78446414/error-loading-sentence-transformers-all-minilm-l6-v2 | python, large-language-model, huggingface | 1,715,149,177 |
se_79498915 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Comparing the similarity of spoken and written form text | Comparing the similarity of spoken and written form text
I'm converting spoken form text to its written form. For example, "he owes me two-thousand dollars" should be converted to "he owes me $2,000" . I want an automatic check, to judge if the conversion was right or not. Can i use sentence transformers to compare th... | https://stackoverflow.com/questions/79498915/comparing-the-similarity-of-spoken-and-written-form-text | nlp, large-language-model | 1,741,632,959 |
se_79501263 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Calculate the gradient with respect to attention but also the FFN layers for a pre-trained LLMs | Calculate the gradient with respect to attention but also the FFN layers for a pre-trained LLMs
I would like to return the gradient with respect to specific layers and the FFN layer in the Transformer architecture of pre-trained LLMs from the hugging-face model. Is that even possible?
I am working with the code of thi... | https://stackoverflow.com/questions/79501263/calculate-the-gradient-with-respect-to-attention-but-also-the-ffn-layers-for-a-p | python, pytorch, nlp, large-language-model | 1,741,706,517 |
se_76405986 | stackoverflow | ARTIFICIAL_INTELLIGENCE | In LangChain, how to save the verbose output to a variable? | In LangChain, how to save the verbose output to a variable?
I tried executing a langchain agent. I want to save the output from verbose into a variable, but all I can access from the agent.run is only the final answer.
How can I save the verbose output to a variable so that I can use later?
My code:
import json
from l... | https://stackoverflow.com/questions/76405986/in-langchain-how-to-save-the-verbose-output-to-a-variable | agent, openai-api, langchain, large-language-model | 1,685,964,674 |
se_78526759 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Visualizing SQL Data using Generative AI | Visualizing SQL Data using Generative AI
I am seeking a solution for data visualization using Generative AI that works on databases containing multiple tables. While I have found solutions like PandasAI and LIDA that work with a single CSV file or a single SQL table, I need something more comprehensive that works with... | https://stackoverflow.com/questions/78526759/visualizing-sql-data-using-generative-ai | sql, chatbot, langchain, large-language-model | 1,716,531,275 |
se_77701433 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ValueError: You are trying to offload the whole model to the disk. Please use the `disk_offload` function instead | ValueError: You are trying to offload the whole model to the disk. Please use the `disk_offload` function instead
I am trying to run a GitHub project on my computer.
GitHub Repo that I am trying to run
This is the code snippet that is causing errors.
Steps I took for replicating the project are:
Cloned the repositor... | https://stackoverflow.com/questions/77701433/valueerror-you-are-trying-to-offload-the-whole-model-to-the-disk-please-use-th | python, nlp, large-language-model, pre-trained-model, llama | 1,703,211,929 |
se_79493986 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Error during SFT training of Qwen2.5-Coder-1.5B: "element 0 of tensors does not require grad and does not have a grad_fn"have a grad_fn` | Error during SFT training of Qwen2.5-Coder-1.5B: "element 0 of tensors does not require grad and does not have a grad_fn"have a grad_fn`
I'm encountering an error during the supervised fine-tuning (SFT) of Qwen2.5-Coder-1.5B. The error, shown in the log below, seems to indicate that something is interrupting... | https://stackoverflow.com/questions/79493986/error-during-sft-training-of-qwen2-5-coder-1-5b-element-0-of-tensors-does-not | python, pytorch, large-language-model | 1,741,415,315 |
se_79484024 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to solve RuntimeError: Tensors must have same number of dimensions: got 2 and 3? | How to solve RuntimeError: Tensors must have same number of dimensions: got 2 and 3?
i am trying to run newly announced model: Phi-4-mini-instruct
https://huggingface.co/microsoft/Phi-4-mini-instruct
It has example, I tried it on Google Colab T4 Notebook, but here is what I got
import torch
from transformers import Au... | https://stackoverflow.com/questions/79484024/how-to-solve-runtimeerror-tensors-must-have-same-number-of-dimensions-got-2-an | python, runtime-error, tensor, large-language-model | 1,741,099,448 |
se_79488543 | stackoverflow | ARTIFICIAL_INTELLIGENCE | What to include in context precision/recall for RAG LLM evaluation | What to include in context precision/recall for RAG LLM evaluation
I am doing evaluation for my RAG LLM application using ragas. I have the prompt instruction to describe some rules, the retrieved content from my retriever, and chat history together for the LLM to do question answering. When I do the evaluation for co... | https://stackoverflow.com/questions/79488543/what-to-include-in-context-precision-recall-for-rag-llm-evaluation | python, large-language-model, rag, ragas | 1,741,245,705 |
se_77391069 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Parsing error on langchain agent with gpt4all llm | Parsing error on langchain agent with gpt4all llm
I am trying to integrate GPT4All with serpapi agent from langchain.
But I am getting parsing error.
Agent unable to parse llm output.
I beleive the agent is expecting an output
Thought: ....
but not getting one, may I get some help here?
from langchain.llms import GPT... | https://stackoverflow.com/questions/77391069/parsing-error-on-langchain-agent-with-gpt4all-llm | langchain, google-search-api, large-language-model, py-langchain, gpt4all | 1,698,690,718 |
se_79482290 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to handle German language specific characters like (ä, ö, ü, ß) while tokenizing using GPT2Tokenizer? | How to handle German language specific characters like (ä, ö, ü, ß) while tokenizing using GPT2Tokenizer?
I am working with German Texts, where I need to tokenize texts using GPT2Tokenizer.
To tokenize the text, I wrote the implementation as follows:
from transformers import GPT2Tokenizer
text = "... | https://stackoverflow.com/questions/79482290/how-to-handle-german-language-specific-characters-like-%c3%a4-%c3%b6-%c3%bc-%c3%9f-while-tokeni | python, nlp, tokenize, large-language-model, gpt-2 | 1,741,041,156 |
se_79393384 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to get LLMs to accurately infer relative days of the week | How to get LLMs to accurately infer relative days of the week
I've been working on an LLM application that often needs to utilize relative days of the week from natural language - e.g if today is 2025-01-28 then this Friday should be 2025-01-31 however as much as I try to prompt and feed it dates, most LLMs I try perf... | https://stackoverflow.com/questions/79393384/how-to-get-llms-to-accurately-infer-relative-days-of-the-week | openai-api, large-language-model, google-gemini, claude | 1,738,058,267 |
se_78164797 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Could not find a version that satisfies the requirement llama-index-finetuning-cross-encoders | Could not find a version that satisfies the requirement llama-index-finetuning-cross-encoders
I'm trying to run this Llama Index How to Finetune a cross-encoder using LLamaIndex.
But I cannot install llama-index-finetuning-cross-encoders package.
I tried this code
%pip install llama-index-finetuning-cross-encoders
Bu... | https://stackoverflow.com/questions/78164797/could-not-find-a-version-that-satisfies-the-requirement-llama-index-finetuning-c | pytorch, large-language-model, llama-index, fine-tuning | 1,710,479,549 |
se_79480061 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to increase the generation throughput of Qwen-0.5B of vllm | How to increase the generation throughput of Qwen-0.5B of vllm
I am currently utilizing vLLM serve to deploy the Qwen-0.5B model on an Nvidia H20 GPU. During this process, I've observed that the GPU utilization as reported by nvidia-smi remains at approximately 70%. Despite attempts to optimize the vLLM engine paramet... | https://stackoverflow.com/questions/79480061/how-to-increase-the-generation-throughput-of-qwen-0-5b-of-vllm | large-language-model, throughput, vllm | 1,740,969,492 |
se_79192130 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Using an AWS service to execute a python script that will extract keywords from text using keyBERT? | Using an AWS service to execute a python script that will extract keywords from text using keyBERT?
I have a simple python script that is given two blocks of text, it then extracts the keywords from them using keyBERT, and then compares the lists of keywords to sort them into two lists depending on if the lists share ... | https://stackoverflow.com/questions/79192130/using-an-aws-service-to-execute-a-python-script-that-will-extract-keywords-from | python, amazon-web-services, aws-lambda, nlp, large-language-model | 1,731,669,216 |
se_78363158 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to set location in Langchain for Google ChatVertexAI model | How to set location in Langchain for Google ChatVertexAI model
Is there anyone know how to set location in Langchain for Google ChatVertexAI model? Langchain document does not mention this.
I have tried with following way but did not work, still use default 'us-central1' location in my tests.
import { ChatVertexAI } f... | https://stackoverflow.com/questions/78363158/how-to-set-location-in-langchain-for-google-chatvertexai-model | langchain, large-language-model, google-cloud-vertex-ai | 1,713,733,574 |
se_79469166 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Is there a way to initialize a LLM with a set of instructions and deploy this model with this initial prompt in memory? | Is there a way to initialize a LLM with a set of instructions and deploy this model with this initial prompt in memory?
In a project i'm currently working on, I have a information extraction task to do with a LLM that requires a large set of instructions. Those instructions contains an object schema (and schema of com... | https://stackoverflow.com/questions/79469166/is-there-a-way-to-initialize-a-llm-with-a-set-of-instructions-and-deploy-this-mo | python, langchain, large-language-model, azure-ai | 1,740,561,972 |
se_76844957 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to make a Chatbot with Langchain that has access to custom data and the internet? | How to make a Chatbot with Langchain that has access to custom data and the internet?
Very strange it doesn't find a good response. When I print(response["answer"]) I get that there is no text to give to the query I put. Even if it gets information from the internet and the Document on the list seems good structured. ... | https://stackoverflow.com/questions/76844957/how-to-make-a-chatbot-with-langchain-that-has-access-to-custom-data-and-the-inte | python, chatbot, langchain, large-language-model | 1,691,309,222 |
se_78842047 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to quantize a HF safetensors model and save it to llama.cpp GGUF format with less than q8_0 quantization? | How to quantize a HF safetensors model and save it to llama.cpp GGUF format with less than q8_0 quantization?
I'm developing LLM agents using llama.cpp as inference engine. Sometimes I want to use models in safetensors format and there is a python script (https://github.com/ggerganov/llama.cpp/blob/master/convert_hf_t... | https://stackoverflow.com/questions/78842047/how-to-quantize-a-hf-safetensors-model-and-save-it-to-llama-cpp-gguf-format-with | large-language-model, huggingface, quantization, llamacpp | 1,723,011,038 |
se_79468482 | stackoverflow | ARTIFICIAL_INTELLIGENCE | "NotImplementedError" encountered while "llm.bind_tools()" | "NotImplementedError" encountered while "llm.bind_tools()"
I'm learning the langgraph tutorial code.
When I used a customized llm which was inherited from the BaseChatModel, then the NotImplementedError occured.
Here's my code:
from typing import List
from langchain_core.messages import SystemMessa... | https://stackoverflow.com/questions/79468482/notimplementederror-encountered-while-llm-bind-tools | python, langchain, large-language-model, agent, langgraph | 1,740,542,233 |
se_79267880 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to use JSON format equivalent in ChatGroq from langchain_groq? | How to use JSON format equivalent in ChatGroq from langchain_groq?
I am using langchain with the langchain_ollama and langchain_groq integrations to process natural language tasks.
When working with ChatOllama from langchain_ollama, I can use the format="json" parameter like this:
from langchain_ollama import ChatOlla... | https://stackoverflow.com/questions/79267880/how-to-use-json-format-equivalent-in-chatgroq-from-langchain-groq | python, json, langchain, large-language-model | 1,733,826,558 |
se_79457389 | stackoverflow | ARTIFICIAL_INTELLIGENCE | What is the best practice to upload and answer question on a one-time-use PDF on Azure programmatically with Python? | What is the best practice to upload and answer question on a one-time-use PDF on Azure programmatically with Python?
I wanna upload a file programmatically, then answer questions only based on the content of the PDF. The PDF does not need to be persisted for future use.
I found that Azure documentation piece there it ... | https://stackoverflow.com/questions/79457389/what-is-the-best-practice-to-upload-and-answer-question-on-a-one-time-use-pdf-on | python, azure, large-language-model | 1,740,141,601 |
se_79463986 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Issue with running LLM | Issue with running LLM
I have a RX 6600 XT and Ryzen 7 5700G and I am trying to run the deepseek r1 qweb 7b instill model from huggingface after downloading the model weights, the tokenizer and normal config and the weight's index. I am trying to make the code work and run it. Please explain why my code stops after mo... | https://stackoverflow.com/questions/79463986/issue-with-running-llm | debugging, pytorch, localhost, large-language-model, deepseek | 1,740,409,283 |
se_79461394 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to convert this complex Future returning function to a Stream? | How to convert this complex Future returning function to a Stream?
To be clear I don't simply want to convert the Future to a Stream object, I want to change the internal behavior of the function to support streaming the LLM response rather than returning the final result.
I have a method that handles communication wi... | https://stackoverflow.com/questions/79461394/how-to-convert-this-complex-future-returning-function-to-a-stream | flutter, dart, large-language-model, google-cloud-vertex-ai | 1,740,321,316 |
se_79454961 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why can we run LLM on Android？ | Why can we run LLM on Android？
PocketPal or termux with ollama can run LLM with billions of parameters on Android. I'm not an Android developer, but from its document, Android sets a limit on app's memory usage (256MB or so). Apparently, the above two facts conflict with each other. Can you explain why? | https://stackoverflow.com/questions/79454961/why-can-we-run-llm-on-android | android, memory, large-language-model | 1,740,064,274 |
se_79456467 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Python request LM Studio Model failed but Curl successful | Python request LM Studio Model failed but Curl successful
I tried to request local model by using Python with below code,
import requests
import json
url = 'http://localhost:1234/v1/chat/completions'
headers = {
'Content-Type': 'application/json'
}
data = {
'model': 'deepseek-r1-distill-qwen-7b',
'messa... | https://stackoverflow.com/questions/79456467/python-request-lm-studio-model-failed-but-curl-successful | python, large-language-model, rag, lm-studio | 1,740,117,982 |
se_78913353 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why does Llava (running on Ollama) ignore the system prompt sometimes? | Why does Llava (running on Ollama) ignore the system prompt sometimes?
I have installed Ollama and have pull the Llava model.
I am querying a set of images (around 200) with the same question.
I have followed the prompt format as stated here
[INST] {{ if .System }}{{ .System }} {{ end }}{{ .Prompt }} [/INST]
I have w... | https://stackoverflow.com/questions/78913353/why-does-llava-running-on-ollama-ignore-the-system-prompt-sometimes | large-language-model, ollama | 1,724,658,811 |
se_78348036 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to call AWS Bedrock asynchronously | How to call AWS Bedrock asynchronously
Is there a way to call Bedrock claude3 model with Python SDK asynchronously?
More specifically, I want the results to be sent to S3. | https://stackoverflow.com/questions/78348036/how-to-call-aws-bedrock-asynchronously | python, large-language-model, amazon-bedrock | 1,713,448,797 |
se_78574125 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to making async calls to Amazon Bedrock | How to making async calls to Amazon Bedrock
We were trying to make calls in parallel to LLMs hosted in Bedrock, from a lambda layer (in python) only to discover that boto3 does not support async. Is there any workaround? I am looking into aiobotocore / aioboto3, but I do not find any example with Bedrock.
Any hint app... | https://stackoverflow.com/questions/78574125/how-to-making-async-calls-to-amazon-bedrock | python, amazon-web-services, asynchronous, large-language-model, amazon-bedrock | 1,717,488,692 |
se_78721054 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Converting PDFs to Markdown for Higher Quality Embeddings with Langchain.js | Converting PDFs to Markdown for Higher Quality Embeddings with Langchain.js
I am working on RAG LLM projects with Langchain.js using Node.js. Most of the data I retrieve are PDFs and a bit of JSON.
For higher quality, I would like to convert my PDFs into Markdown before embedding starts. This involves deleting headers... | https://stackoverflow.com/questions/78721054/converting-pdfs-to-markdown-for-higher-quality-embeddings-with-langchain-js | pdf, markdown, langchain, large-language-model, retrieval-augmented-generation | 1,720,444,354 |
se_79325427 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to get this C# code working for HuggingFace models | How to get this C# code working for HuggingFace models
I am doing some research and I have to use LLM models on different platforms APIs
1- OpenAI ChatGPT 4
2- Groq Llama 3.2
3- HuggingFace Llama 3.3
I built code that works on OpenAI ChatGPT 4 & Groq Llama 3.2
but when I tried to call HuggingFace Llama 3.3 it failed... | https://stackoverflow.com/questions/79325427/how-to-get-this-c-code-working-for-huggingface-models | openai-api, large-language-model, huggingface, groq | 1,735,874,420 |
se_79436706 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Every time I open OpenWebUI, have to redownload the models | Every time I open OpenWebUI, have to redownload the models
I have installed Docker on Windows 10 and subsequently set up ollama and openwebui within Docker. The command used to install ollama was:
docker run --gpus all -d -v /opt/ai/ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
The command used to in... | https://stackoverflow.com/questions/79436706/every-time-i-open-openwebui-have-to-redownload-the-models | large-language-model, ollama | 1,739,459,050 |
se_79428887 | stackoverflow | ARTIFICIAL_INTELLIGENCE | No matter how low is the GPU Vram is set in max_memory, the loading of the model throws error | No matter how low is the GPU Vram is set in max_memory, the loading of the model throws error
On one Nvidia 4070 Super with 12GB VRAM, the loading of deepseek "deepseek-ai/deepseek-llm-7b-chat" model constantly throws error even the GPU VRAM is set at as low as 4GB in max_memory:
Error loading quantized model: Some mo... | https://stackoverflow.com/questions/79428887/no-matter-how-low-is-the-gpu-vram-is-set-in-max-memory-the-loading-of-the-model | pytorch, large-language-model, deepseek | 1,739,248,144 |
se_79439095 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Remove GPU Ram with VLLM | Remove GPU Ram with VLLM
After running this code within a jupyter notebook, it runs properly. However, the memory is still stored in the GPU. How do I get rid of this memory to clear up space on my GPU. Sorry if I am formatting this question poorly, I am not used to posting. Provided is the code:
llm = LLM(
model=mo... | https://stackoverflow.com/questions/79439095/remove-gpu-ram-with-vllm | python, pytorch, out-of-memory, large-language-model | 1,739,529,802 |
se_77613507 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Training llm for Query Generation in a Graph Database | Training llm for Query Generation in a Graph Database
If I have developed a graph database which has its own query language. I have to find a way to feed llm the graph and then llm should be able to generate the queries of our database.
I have found something similar in langchain that we can feed it the rdf file and t... | https://stackoverflow.com/questions/77613507/training-llm-for-query-generation-in-a-graph-database | machine-learning, nlp, sparql, langchain, large-language-model | 1,701,869,646 |
se_79276279 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Test a Perplexity API key on python | Test a Perplexity API key on python
I don't find an efficient way to check if an api key of perplexity is valid, either on python or anything.
Indeed, for openai I do :
def check_openai_api_key(api_key):
openai.api_key = api_key
try:
openai.Model.list()
except openai.error.AuthenticationError as e:... | https://stackoverflow.com/questions/79276279/test-a-perplexity-api-key-on-python | python, openai-api, large-language-model, perplexity | 1,734,029,803 |
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