Llama 3.1 8B
Meta · Llama
Meta's 8B workhorse with a massive 128K context window. Punches well above its weight class for everyday coding and chat tasks, runs comfortably on any consumer GPU with 6 GB VRAM, and delivers near-70B quality on many benchmarks.
Params
8B
License
Llama 3.1 Community
Context
128K
Min VRAM
5 GB
Min RAM
8 GB
Tier
Light
Run locally with Ollama
ollama run llama3.1:8bOnce running, Ollama exposes an OpenAI-compatible endpoint at localhost:11434/v1.
Will it run on my hardware?
Llama 3.1 8B needs about 5 GB of fast memory at Q4. Here is what in our hardware database clears that bar.
Runs at full speed · 12
Runs, but slower on shared memory · 3
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Specifications
| Parameters | 8B |
|---|---|
| Context window | 128K |
| License | Llama 3.1 Community |
| Min VRAM (Q4) | 5 GB |
| Min RAM | 8 GB |
| Recommended tier | Light |
| Best for | codingchatanalysis |
Variants on Ollama
Ollama serves the Q4_K_M quantization by default. Higher-precision tags exist for users with more memory.
Llama 3.1 8B
ollama run llama3.1:8bollama pull llama3.1:q8_0ollama pull llama3.1:fp16Exact quantization tags vary per model — run ollama show llama3.1 or check the tags page for the full list.
Popularity trend (illustrative)
Illustrative adoption trend, not actual download counts. We do not publish a download number for any model because we have no honest source for it.
Similar models
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Min VRAM
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Context
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Run with Ollama
ollama run qwen3:8bMistral 7B v0.3
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Context
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ollama run mistral:7bGemma 3 4B
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Min VRAM
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Context
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Run with Ollama
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