LocalClaw/LLM/LLaVA-Llama3 (8B)
Open-weight local LLM

LLaVA-Llama3 (8B)

LLaVA fine-tuned on Llama 3. Improved vision understanding. 1.9M downloads.

Laptop ready 8 GB RAM Q4_K_M Vision tasks
Run with LocalClaw Compare all models
Parameters
8B
Minimum RAM
8 GB
Model size
5 GB
Quantization
Q4_K_M

Can LLaVA-Llama3 (8B) run locally?

LLaVA-Llama3 (8B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for llava-llama-3-8b in LM Studio or another GGUF-compatible runtime.

xtuner/llava-llama-3-8b-v1_1-GGUF
visionstandard

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch llava-llama-3-8b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • LLaVA fine-tuned on Llama 3. Improved vision understanding. 1.9M downloads.

Limitations

  • Performance depends on quantization, RAM bandwidth and runtime support.

Best use cases

  • vision
  • standard

Capability profile

speed
7
quality
7
coding
4
reasoning
6

Technical notes

Developer
llava
License
See model repository
Context window
Unknown tokens
Architecture
See model card

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Entry laptop fitMacBook Air 8GBMore headroomMac mini M4 16GBAll compatible picks8GB RAM guide

Where to go next