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
teslat4-3.32.64.160
131,072.0
pipeline
3 $0.88 1.551 Launch
teslaa10-2.16.64.160
131,072.0
tensor
2 $0.93 57.830 1.843 Launch
teslat4-4.16.64.160
131,072.0
tensor
4 $0.96 2.192 Launch
teslaa2-3.32.128.160
131,072.0
pipeline
3 $1.06 1.557 Launch
rtx2080ti-4.16.32.160
131,072.0
tensor
4 $1.12 1.272 Launch
rtxa5000-2.16.64.160.nvlink
131,072.0
tensor
2 $1.23 1.843 Launch
teslaa2-4.32.128.160
131,072.0
tensor
4 $1.26 2.201 Launch
rtx3090-2.16.64.160
131,072.0
tensor
2 $1.56 64.660 1.965 Launch
rtx5090-1.16.64.160
131,072.0
1 $1.59 1.264 Launch
rtx3080-4.16.64.160
131,072.0
tensor
4 $1.82 1.053 Launch
rtx4090-2.16.64.160
131,072.0
tensor
2 $1.92 1.960 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 165.910 4.019 Launch
h100-1.16.64.160
131,072.0
1 $3.83 101.660 4.015 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 227.400 4.814 Launch
teslaa100-2.24.96.160.nvlink
131,072.0
tensor
2 $4.61 8.369 Launch
h200-1.16.128.160
131,072.0
1 $4.74 7.500 Launch
h200-2.24.256.160.nvlink
131,072.0
tensor
2 $9.40 15.333 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslat4-3.32.64.160
131,072.0
pipeline
3 $0.88 1.348 Launch
teslaa10-2.16.64.160
131,072.0
tensor
2 $0.93 1.646 Launch
teslat4-4.16.64.160
131,072.0
tensor
4 $0.96 1.995 Launch
teslaa2-3.32.128.160
131,072.0
pipeline
3 $1.06 1.355 Launch
rtx2080ti-4.16.32.160
131,072.0
tensor
4 $1.12 1.075 Launch
rtxa5000-2.16.64.160.nvlink
131,072.0
tensor
2 $1.23 1.646 Launch
teslaa2-4.32.128.160
131,072.0
tensor
4 $1.26 2.004 Launch
rtx3090-2.16.64.160
131,072.0
tensor
2 $1.56 1.768 Launch
rtx5090-1.16.64.160
131,072.0
1 $1.59 1.068 Launch
rtx4090-2.16.64.160
131,072.0
tensor
2 $1.92 1.764 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 3.822 Launch
h100-1.16.64.160
131,072.0
1 $3.83 3.818 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 4.618 Launch
teslaa100-2.24.96.160.nvlink
131,072.0
tensor
2 $4.61 8.173 Launch
h200-1.16.128.160
131,072.0
1 $4.74 7.304 Launch
h200-2.24.256.160.nvlink
131,072.0
tensor
2 $9.40 15.136 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa10-2.16.64.160
131,072.0
tensor
2 $0.93 1.240 Launch
teslat4-4.16.64.160
131,072.0
tensor
4 $0.96 1.589 Launch
rtxa5000-2.16.64.160.nvlink
131,072.0
tensor
2 $1.23 1.240 Launch
teslaa2-4.32.128.160
131,072.0
tensor
4 $1.26 1.598 Launch
rtx3090-2.16.64.160
131,072.0
tensor
2 $1.56 1.362 Launch
rtx4090-2.16.64.160
131,072.0
tensor
2 $1.92 1.357 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 76.950 3.416 Launch
rtx5090-2.16.64.160
131,072.0
tensor
2 $2.93 2.258 Launch
h100-1.16.64.160
131,072.0
1 $3.83 83.790 3.412 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 128.540 4.212 Launch
teslaa100-2.24.96.160.nvlink
131,072.0
tensor
2 $4.61 7.766 Launch
h200-1.16.128.160
131,072.0
1 $4.74 6.897 Launch
h200-2.24.256.160.nvlink
131,072.0
tensor
2 $9.40 14.730 Launch

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