One Reddit user reported on a 33B coding model: "I messed with the 33B version for a bit but couldn't get anything resembling functional code out of it... it just kinda gave up on all [test prompts]".
Downloading LLMs from random, untrusted third-party links poses severe security risks, including malware execution via malicious tensor files. To download 33B models safely, always use established AI repositories. 1. Hugging Face (The Core Repository)
Here’s a short piece based on the phrase — written in the style of a frustrated AI enthusiast’s forum post or a satirical tech rant. crap 33b download link
: A popular instruction-tuned version of Llama 1 33B.
Because these models are created by the open-source community, they are typically hosted on platforms like Hugging Face. One Reddit user reported on a 33B coding
The most efficient way to download these models without dealing with broken links or "junk" is using the Hugging Face CLI Install the Tool pip install huggingface_hub hf_transfer Use code with caution. Copied to clipboard Fast Download Command
Available on Hugging Face under the WizardLM organization. 3. Samantha-33B To download 33B models safely, always use established
In the rapidly evolving landscape of Large Language Models (LLMs), the trade-off between safety alignment and raw performance remains a point of significant debate. This paper introduces and evaluates CRAP-33B (Contextually Raw and Post-processed 33B), a model derived from the 33-billion parameter architecture. Unlike standard instructions-tuned models, CRAP-33B utilizes a specialized fine-tuning process that prioritizes raw output fidelity over traditional safety guardrails. We assess its performance across standard benchmarks (MMLU, HumanEval) and subjective creative writing tasks, finding that the reduction in "alignment tax" results in a 12% increase in creative variance while maintaining competitive reasoning capabilities. 1. Introduction
Another leading model in the 33B parameter class focused on complex instruction following for coding.
The industry standard for hosting AI models. You can find almost any open-source 33B variant here by searching the model name directly.