Built a decision-reasoning engine (Orlog) and wanted to fine-tune a local model for it instead of paying per-call forever. The method (DV-DPO): Run a 3-voice council on each question, produce a synthesis Cross-examine: losing voices challe…
model
Qwen2.5-7B-Instruct
huggingface.co/Qwen/Qwen2.5-7B-Instruct ↗
12506262 downloads1204 likestext-generationtransformers
from the model card
Qwen2.5-7B-Instruct Introduction Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2: Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains. Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots. Long-context Support up to 128K tokens and can generate up to 8K tokens. Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more. This repo contains the instruction-tuned 7B Qwen2.5 model, which has the following features: Type: Causal Language Models Training Stage: Pretraining & Post-training Architecture: transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias Number of Parameters: 7.61B Number of Paramaters (Non-Embedding): 6.53B Number of Layers: 28 Number of Attention Heads (GQA): 28 for Q and 4 for KV Context …
discussions
recent items
Fine-tuned Qwen2.5-7B to 96% of Claude Haiku on a domain-specific task using ~$3 of API calls and zero human labelers (www.reddit.comhttps) Has anyone tried running retrieval inside the model, not before it? (www.reddit.com via reddit) Been messing with a bolt-on refiner block for small models. Insert a small trainable transformer layer at the midpoint of a frozen base model, loop it 2-4 times over the hidden states.
Gave Claude a local LLM as assistant on my Mac (www.reddit.com) Hi there! I was playing around with Ollama and LMstudio, testing local models and had the idea of letting Claude evaluate a few models on their actual capabilities rather than doing it myself.
↯ Qwen 2.5↯ Qwen 2.5↯ Qwen 2.5↯ Qwen 2.5↯ Qwen 2.5↯ Qwen 2.5↯ Qwen 2.5↯ Qwen 2.5ollamaqwenmcp
Currently setting up a Mac mini to be an agent server and would love some feedback (www.reddit.com) After doing a little bit of digging (well, perusing reddit and asking other models), I'm leaning toward the following: - Default chat: qwen3:30b / qwen3:30b-instruct - Default coding: qwen3-coder:30b - Local reasoning: gpt-oss:20b - Fast c…
Local Autonomous Security Agent-QWEN2.5-7B+MCP Agent Loop (huggingface.co via hn) Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Log In Sign Up 1 1 Christopher Sheridan automajicly Follow 0 followers · 1 following AI & ML interests LLM'S , Open AI, Experimentation Recent Activity updated a model…
How difficult is distilling? (www.reddit.com) I remember a year or so ago when DeepSeek R1 came out and it was pretty quickly distilled into Llama 3 8b and Qwen 2.5 (?) 7b. Why don’t we see more distilled models?
Local autonomous security agent powered by Qwen 2.5-7B on Kali Linux (github.com via hn) Autonomous Security Agent A self-contained security agent built with Qwen 2.5-7B running locally via LM Studio on Kali Linux. The agent can autonomously execute security tools, analyze results, and take action through an MCP (Model Context…
Local model for Cursor to build an Android App (www.reddit.com) New to Cursor. Android Studio Gemini Agent has become unusable,so im looking for new options.
Detecting Meaning Bifurcation in Frozen LLMs (huggingface.co via hn) SRT-Adapter v1.0 — Live Demo Interactive demo for the Semiotic-Reflexive Transformer Adapter (v1.0 = v15a checkpoint) bolted onto a frozen Qwen/Qwen2.5-7B. Three demos in one Space: Per-token readouts (preserved from v8a) — paste a passage…
Writing an LLM compiler from scratch: PyTorch to CUDA in 5,000 lines of Python (medium.com via reddit) Hey r/LocalLLaMA, I wanted to come up with a simple overview of the modern ML compiler stack, essentially what happens between model.generate()and the GPU executing a kernel. However, the stack is brutal to read.
Ubuntu silicon-optimized inference snaps for AI (canonical.com via hn) Canonical on 23 October 2025 Install a well-known model like DeepSeek R1 or Qwen 2.5 VL with a single command, and get the silicon-optimized AI engine automatically. London, October 23 – Canonical today announced optimized inference snaps,…
Speculative Decoding Implementations: EAGLE-3, Medusa-1, PARD, Draft Models, N-gram and Suffix Decoding from scratch (www.reddit.com) I’ve been working on an educational implementation repo for speculative decoding: https://github.com/shreyansh26/Speculative-Decoding The goal is not to wrap existing libraries, but to implement several speculative decoding methods from sc…
Using logit steering / KV Cache Dynamic Assembly to guide outputs from Small Language Models using ONNX Runtime (www.reddit.com) I've been using ONNX browser based runtime to do experiments with logit steering ad I've been seeing shocking improvements over baseline generation. This is a Qwen 2.5 0.5B....
Show HN: Doxa – Open-source emergent simulator for geopolitical scenarios (github.com via hn) Hi! We, Vincenzo and Riccardo, built Doxa as an agnostic engine for emergent simulations with agents for constrainted scenarios (like geopolitical, economics, ...) and work well with LLMs like Qwen2.5:7B, Llama but also cloud models such a…
Best model that can run on raspberry pi 5 with 8GB of RAM (www.reddit.com) I wanted to start a robotic project to try and build a robot that has an embedded AI. I tried with a qwen 2.5-VL-3B and it was too big for the raspberry pi.
I ran a Hormuz Crisis emergent SIM: AIs started lying to hide a stalemate (news.ycombinator.com) Over the past few days, to test the Doxa geopolitical-economic simulation engine, we recreated the Strait of Hormuz scenario with 5 actors to analyze the agents' emergent outcomes. We gave the US agent a "populist" persona and the Iran age…
Issues running local model with vscode and cline (www.reddit.com) Hi all, Total noob here trying to set up a local model to help me with coding. I am trying the following setup - Ollama running the qwen2.5-coder:7b model in docker with the following compose file services: ollama: container_name: ollama i…
7B showdown on 18GB (benchmark) (www.reddit.com) Hey r/LocalLLaMA, I've been coding for a while but not in the local AI space and wanted to run some benchmarks on my 18GB M3 Pro. The theme of this one was "specialists vs generalists" at the 7-8B range: qwen2.5-coder:7b, deepseek-r1:7b, m…
I Built a desktop app for generating LLM fine-tuning datasets — started it a week ago while learning FT (www.reddit.com) Hey, I've been building side projects with Claude Code for a few months, but I'm completely new to fine-tuning — started experimenting maybe a week ago. From day one I wanted a GUI for the dataset side of the workflow, so this desktop app…
16GB VRAM x coding model (www.reddit.com) Good Summarization SLMs for < 2000 tokens (www.reddit.com) Need help for running local llm on a server (www.reddit.com) OCuLink dGPU for AMD: RX 7600 XT vs RX 7800 XT for LLM — worth the price gap? Also llamacpp + Vulkan vs Ollama + ROCm? (www.reddit.com) Nyquest – Open-source LLM token compression proxy in Rust (15–75% savings) (github.com via hn) nyquest.ai Semantic Compression Proxy for LLMs Reduce LLM token usage by 15–75% without losing meaning. Drop-in proxy with 350+ compiled rules + local LLM semantic condensation (Qwen 2.5 1.5B).
MINISFORUM AI X1 Pro-370 (96GB) - Local Ollama Help (www.reddit.com) Hey all. This just got delivered yesterday.
m5 pro 64gb worth it for local agents or wait? (www.reddit.com) I am currently on an m3 mbp with 24gb ram. For regular python and django work the machine is perfect and i have no need to upgrade for speed.
duda sobre descargarse IA de forma local (www.reddit.com) Hola, tengo actualmente un dispositivo con Truenas Scale, mi disposotivo tiene in i5 4570, 32gb ddr3, varios ssd para NAS y le instale hace poco una rtx 3060 de 12gb con el proposito de correr una ia local, para llamar a claude code o tene…
Lower inference speed of Gemma4 26BA4B on vllm. (www.reddit.com) For my earlier use case I used to host qwen 2.5 vl 7b gptq int4. Now I was looking to switch to Gemma4 26B A4B, as it would improve performance as well as improve latency considering only 4B parameters are active..
24/7 Headless AI Server on Xiaomi 12 Pro (Guide & Benchmarks) Gemma4 VS Qwen2.5 (www.reddit.com) https://preview.redd.it/2olx2ckl9evg1.jpg?width=4088&format=pjpg&auto=webp&s=b8ee69bff72a4ca21888dccf6f825da11b2b89a2 Here is the build guide for my setup. While it isn't a massive textbook, it provides enough detail to replicate the steps.