Llama-3.1-8B-Instruct

Meta Llama 3.1 8B is an impressive and incredibly popular model within the community, featuring 8 billion parameters. It is part of the innovative Llama 3.1 series, which demonstrates revolutionary capabilities in the fields of natural language processing and intelligent dialogue. Architecturally, the model is built on an optimized transformer architecture using advanced Grouped-Query Attention (GQA) technology, providing exceptional scalability for inference. The model was trained on more than 15 trillion tokens from publicly available sources, enabling it to demonstrate deep contextual understanding and generate high-quality responses.

Officially, the model supports a context window of up to 128 thousand tokens and works with eight languages (Russian is not listed, although the model understands it very well). The instruction-tuned version of the model underwent supervised fine-tuning (SFT) and reinforcement learning based on human feedback (RLHF), ensuring a high level of safety and alignment with human preferences.

The potential applications of the model are truly **boundless**: from building intelligent dialogue systems and personal assistants to developing tools for programming and processing large volumes of text. The model supports native function calling (tool calling), making it possible to integrate with external services and create powerful agent-based systems.Thanks to its permissive Llama 3.1 Community License, the model is available for both commercial and research use, making Llama 3.1 8B an ideal choice for developers, researchers, and businesses looking to implement cutting-edge AI technologies into their products and services.


Announce Date: 23.07.2024
Parameters: 9B
Context: 132K
Layers: 32
Attention Type: Full Attention
Developer: Meta AI
Transformers Version: 4.42.3
License: LLAMA 3.1

Public endpoint

Use our pre-built public endpoints for free to test inference and explore Llama-3.1-8B-Instruct capabilities. You can obtain an API access token on the token management page after registration and verification.
Model Name Context Type GPU Status Link
There are no public endpoints for this model yet.

Private server

Rent your own physically dedicated instance with hourly or long-term monthly billing.

We recommend deploying private instances in the following scenarios:

  • maximize endpoint performance,
  • enable full context for long sequences,
  • ensure top-tier security for data processing in an isolated, dedicated environment,
  • use custom weights, such as fine-tuned models or LoRA adapters.

Recommended server configurations for hosting Llama-3.1-8B-Instruct

Prices:
Name GPU Price, hour TPS Max Concurrency
teslat4-2.16.32.160
131,072.0
tensor
2 $0.54 1.030 Launch
teslaa2-2.16.32.160
131,072.0
tensor
2 $0.57 16.580 1.035 Launch
rtx2080ti-3.12.24.120
131,072.0
pipeline
3 $0.84 1.011 Launch
teslaa10-2.16.64.160
131,072.0
tensor
2 $0.93 57.830 1.943 Launch
rtx2080ti-4.16.32.160
131,072.0
tensor
4 $1.12 1.472 Launch
rtxa5000-2.16.64.160.nvlink
131,072.0
tensor
2 $1.23 1.943 Launch
rtx3090-2.16.64.160
131,072.0
tensor
2 $1.56 64.660 2.065 Launch
rtx5090-1.16.64.160
131,072.0
1 $1.59 1.314 Launch
rtx3080-4.16.64.160
131,072.0
tensor
4 $1.82 1.253 Launch
rtx4090-2.16.64.160
131,072.0
tensor
2 $1.92 2.060 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 4.069 Launch
h100-1.16.64.160
131,072.0
1 $3.83 101.660 4.065 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 4.864 Launch
teslaa100-2.24.96.160.nvlink
131,072.0
tensor
2 $4.61 8.469 Launch
h200-1.16.128.160
131,072.0
1 $4.74 7.550 Launch
h200-2.24.256.160.nvlink
131,072.0
tensor
2 $9.40 15.433 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslat4-3.32.64.160
131,072.0
pipeline
3 $0.88 1.498 Launch
teslaa10-2.16.64.160
131,072.0
tensor
2 $0.93 1.746 Launch
teslat4-4.16.64.160
131,072.0
tensor
4 $0.96 2.195 Launch
teslaa2-3.32.128.160
131,072.0
pipeline
3 $1.06 1.505 Launch
rtx2080ti-4.16.32.160
131,072.0
tensor
4 $1.12 1.275 Launch
rtxa5000-2.16.64.160.nvlink
131,072.0
tensor
2 $1.23 1.746 Launch
teslaa2-4.32.128.160
131,072.0
tensor
4 $1.26 2.204 Launch
rtx3090-2.16.64.160
131,072.0
tensor
2 $1.56 1.868 Launch
rtx5090-1.16.64.160
131,072.0
1 $1.59 1.118 Launch
rtx3080-4.16.64.160
131,072.0
tensor
4 $1.82 1.057 Launch
rtx4090-2.16.64.160
131,072.0
tensor
2 $1.92 1.864 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 3.872 Launch
h100-1.16.64.160
131,072.0
1 $3.83 3.868 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 4.668 Launch
teslaa100-2.24.96.160.nvlink
131,072.0
tensor
2 $4.61 8.273 Launch
h200-1.16.128.160
131,072.0
1 $4.74 7.354 Launch
h200-2.24.256.160.nvlink
131,072.0
tensor
2 $9.40 15.236 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslat4-3.32.64.160
131,072.0
pipeline
3 $0.88 1.079 Launch
teslaa10-2.16.64.160
131,072.0
tensor
2 $0.93 1.340 Launch
teslat4-4.16.64.160
131,072.0
tensor
4 $0.96 1.789 Launch
teslaa2-3.32.128.160
131,072.0
pipeline
3 $1.06 1.086 Launch
rtxa5000-2.16.64.160.nvlink
131,072.0
tensor
2 $1.23 1.340 Launch
teslaa2-4.32.128.160
131,072.0
tensor
4 $1.26 1.798 Launch
rtx3090-2.16.64.160
131,072.0
tensor
2 $1.56 1.462 Launch
rtx4090-2.16.64.160
131,072.0
tensor
2 $1.92 1.457 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 76.950 3.466 Launch
rtx5090-2.16.64.160
131,072.0
tensor
2 $2.93 2.358 Launch
h100-1.16.64.160
131,072.0
1 $3.83 83.790 3.462 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 128.540 4.262 Launch
teslaa100-2.24.96.160.nvlink
131,072.0
tensor
2 $4.61 7.866 Launch
h200-1.16.128.160
131,072.0
1 $4.74 6.947 Launch
h200-2.24.256.160.nvlink
131,072.0
tensor
2 $9.40 14.830 Launch

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