LOADING DATASHEET
LOADING DATASHEET
by Meta
RANKED #169 OF 228 ASSISTANTS · OVERALL #268 OF 6,618 · VIBE SCORE 5.6 · 26 VOICES
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
4 mentions
1 mentions
26 weeks · 27 voices
HONEYMOON FADING
Early praise is cooling off in recent weeks.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Not enough discussion about Llama 3.2 1B Instruct yet to call it. We found 26 posts but people did not say much either way.
26 POSTS · 0 COMMENTS · GITHUB · REDDIT
Other models the crowd has fully reviewed, starting with text models like this one.
We trained SLM-powered assistants for personal expenses summaries that you can run locally via Ollama.
[P] Llama 3.2 1B-Based Conversational Assistant Fully On-Device (No Cloud, Works Offline)
Fine-tuned Llama 3.2 1B on 480 examples, shipped to Android via Q4_K_M
We built a 1 and 3B local Git agents that turns plain English into correct git commands. They matche GPT-OSS 120B accuracy (gitara)
Do you think you can find the password ? I made a small LLM challenge
JSON and Pandas RAG using LlamaIndex
Fine-tuned Llama 3.2 1B for Indian Legal QA on a free Google Colab T4 (0.90% Trainable Params
Difference in Llama 3.2 1B instruct and Llama 3.1 8B
Do you think you can find the password ? I created a small LLM challenge
How to load a Finetuned LLM to Ollama?
llama.cpp CUDA hangs non-deterministically on RTX 5070 Ti (Blackwell/SM120) — same command, works once, hangs on identical rerun
epic: Multi-turn prompt cache never hits for snapshot-only families (Gemma 4, Qwen 3.5, SSM hybrids)