Compare
Meta Llama 3 8B Instruct vs Meta Llama 3 70B Instruct
Put two to four models side by side on the fields that decide a deployment: context, price, region, license, languages, hosting, and what is verified.
| Meta Llama 3 8B Instruct | Meta Llama 3 70B Instruct | |
|---|---|---|
| Provider | Meta | Meta |
| Parameters | 8B | 70.6B |
| Context window | Not verified: the provider has not documented this claim. | Not verified: the provider has not documented this claim. |
| License | llama3 | llama3 |
| Modalities | text | text |
| Release date | 17 Apr 2024 | 17 Apr 2024 |
| Languages | Strong: en Adequate: — | Strong: en Adequate: — |
| Open weights | yes | yes |
| Tasks | Multilingual support, Customer support, Summarisation | Multilingual support, Reasoning, Summarisation |
Where two models differ, this table shows the difference and stops. LLM EU publishes no winner badge without a documented score for that task, and a missing figure stays missing instead of becoming a zero.
When to use it
Meta Llama 3 8B Instruct
Strengths
- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- at 8B parameters it fits on a single accelerator
- the model page lists en
- instruction-tuned checkpoint with a chat template in the repository
Limits
- catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 8B parameters, the weights fit on a single modest accelerator
Tasks
Meta Llama 3 70B Instruct
Strengths
- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- the model page lists en
- instruction-tuned checkpoint with a chat template in the repository
Limits
- catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 70.6B parameters, self-hosting needs a high-memory accelerator
Tasks
Tasks: Multilingual support, Summarisation