Qwen2.5 7B Instruct
A 7.6B general-purpose model with strong coding, math and structured-output skills, small enough for a single mid-range GPU. View on Hugging Face.
What Qwen2.5 7B Instruct is
Qwen2.5 7B Instruct is Alibaba's instruction-tuned general-purpose model. Its card highlights improved coding and math ability, more reliable JSON and structured-output generation, and support for more than 29 languages, all in a 7.6B-parameter size that fits on a single mid-range GPU.
License note: fully permissive, no gating and no usage restrictions. Facts on this page are sourced from Qwen2.5 7B Instruct's Hugging Face model card, not benchmarked by Aquanode.
What it's used for
- Coding assistants
- Math and structured reasoning
- JSON / structured output
- Multilingual chat (29+ languages)
Deploy Qwen2.5 7B Instruct
Needs 1× RTX 3090 at its published (BF16) precision. Aquanode doesn't run a hosted inference API for Qwen2.5 7B Instruct. Spin up a GPU pod sized for it below and install your own inference stack (vLLM, SGLang, TGI, llama.cpp, Ollama, or whatever you prefer) on it.
Set up a podFull deploy guide: vLLM/Ollama commands & hardware sizingFull VRAM breakdown & live GPU fitCheapest current fit at Qwen2.5 7B Instruct's published (BF16) precision: 1× RTX 3090, at $0.147/hr per GPU ($0.147/hr total). See the full precision table for FP8/INT4 alternatives.
More models
DeepSeek-R1-0528
Reasoning
Llama 3.3 70B Instruct
LLM
FLUX.1 [dev]
Image generation
deepseek-coder-6.7b-instruct
Coding
DeepSeek-OCR
Vision
DeepSeek-R1-Distill-Llama-70B
Reasoning
DeepSeek-R1-Distill-Llama-8B-abliterated
Reasoning
DeepSeek-R1-Distill-Qwen-1.5B
Reasoning
DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
Reasoning
DeepSeek-V3
LLM
DeepSeek-V3-0324
LLM
DeepSeek-V3.1
LLM
DeepSeek-V3.2-Exp
LLM
Dia-1.6B
Speech / TTS
Dolphin3.0-R1-Mistral-24B
Reasoning
EXAONE-3.5-32B-Instruct
LLM
FLUX.1-Kontext-dev
Image generation
FLUX.1-schnell
Image generation
FLUX.2-dev
Image generation
gemma-3-12b-it
Vision
gemma-3-4b-it
Vision
gemma-4-31B-it
Vision
GLM-4.5-Air
LLM
GLM-4.5V
Vision
GLM-4.6
LLM
GLM-4.7-Flash
LLM
GLM-5
LLM
GLM-5.1
LLM
GLM-5.2
LLM
granite-3.2-8b-instruct
LLM
Hermes-3-Llama-3.1-405B-FP8
LLM
Hermes-3-Llama-3.1-70B
LLM
Hermes-3-Llama-3.1-8B
LLM
HiDream-I1-Full
Image generation
InternVL3-78B
Vision
Kimi-K2-Instruct
LLM
Kimi-K2-Instruct-0905
LLM
Krea-2-Raw
Image generation
turn-detector
Speech / TTS
Llama-3.1-405B-Instruct
LLM
Meta-Llama-3.1-70B-Instruct-FP8
LLM
Llama-3.1-8B-Instruct
LLM
Llama-3.1-8B-Lexi-Uncensored-V2
LLM
Llama-3.1-Nemotron-Nano-8B-v1
LLM
Llama-3.2-3B-Instruct
LLM
Llama-4-Maverick-17B-128E-Instruct-FP8
Vision
Llama-4-Scout-17B-16E-Instruct
Vision
Llama-Guard-3-8B
LLM
Llama-Guard-4-12B
LLM
LTX-2
Video generation
MiniMax-H3
LLM
MiniMax-M2.5
LLM
MiniMax-M2.7
LLM
Mistral-Small-24B-Instruct-2501
LLM
Mixtral-8x7B-Instruct-v0.1
LLM
mochi-1-preview
Video generation
multilingual-e5-large-instruct
Embedding
Nanonets-OCR-s
Vision
Nous-Hermes-2-Mistral-7B-DPO
LLM
orpheus-3b-0.1-ft
Speech / TTS
parakeet-tdt-0.6b-v3
Speech / TTS
Phi-3.5-mini-instruct
LLM
Phi-3-mini-4k-instruct
LLM
phi-4
LLM
Qwen-Image
Image generation
Qwen2.5-14B-Instruct
LLM
Qwen2.5-3B-Instruct
LLM
Qwen2.5-Coder-32B-Instruct
Coding
Qwen3-1.7B
LLM
Qwen3-1.7B-Base
LLM
Qwen3-14B-Base
LLM
Qwen3-235B-A22B-Instruct-2507-FP8
LLM
Qwen3-235B-A22B-Thinking-2507
Reasoning
Qwen3-30B-A3B
LLM
Qwen3-32B
LLM
Qwen3-4B
LLM
Qwen3-4B-Base
LLM
Qwen3.5-122B-A10B
LLM
Qwen3.5-397B-A17B
LLM
Qwen3.5-9B
LLM
Qwen3.6-35B-A3B
LLM
Qwen3.8-27B-FP8
LLM
Qwen3-8B
LLM
Qwen3-Coder-480B-A35B-Instruct
Coding
Qwen3-Coder-Next
Coding
Qwen3-Embedding-0.6B
Embedding
Qwen3-Next-80B-A3B-Instruct
Reasoning
Qwen3-Next-80B-A3B-Thinking
Reasoning
Qwen3-VL-32B-Instruct
Vision
ReaderLM-v2
LLM
RealVisXL_V5.0
Image generation
SmolLM2-360M-Instruct
LLM
stable-diffusion-xl-base-1.0
Image generation
Trinity-Large-Preview
LLM
Wayfarer-12B
LLM
whisper-large-v3
Speech / TTS
