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
teslaa2-2.16.32.160
131,072.0
tensor
2 $0.57 55.16 1.167 Launch
teslaa10-2.16.64.160
131,072.0
tensor
2 $0.93 105.94 1.988 Launch
rtx3090-2.16.64.160
131,072.0
tensor
2 $1.56 170.94 2.147 Launch
rtx3090-2.16.64.160.nvlink
131,072.0
tensor
2 $1.56 2.147 Launch
rtx5090-1.16.64.160
131,072.0
1 $1.59 124.49 1.336 Launch
rtx3080-4.16.64.160
131,072.0
tensor
4 $1.82 192.97 1.367 Launch
rtx4090-2.16.64.160
131,072.0
tensor
2 $1.92 209.47 2.141 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 172.11 4.080 Launch
h100-1.16.64.160
131,072.0
1 $3.83 187.27 4.032 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 227.40 4.875 Launch
teslaa100-2.24.96.160.nvlink
131,072.0
tensor
2 $4.61 8.514 Launch
h200-1.16.128.160
131,072.0
1 $4.74 7.561 Launch
h200-2.24.256.160.nvlink
131,072.0
tensor
2 $9.40 15.478 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa10-2.16.64.160
131,072.0
tensor
2 $0.93 1.878 Launch
teslaa2-3.32.128.160
131,072.0
pipeline
3 $1.06 20.04 1.654 Launch
teslaa2-4.32.128.160
131,072.0
tensor
4 $1.26 2.475 Launch
rtx3090-2.16.64.160
131,072.0
tensor
2 $1.56 129.07 2.000 Launch
rtx3090-2.16.64.160.nvlink
131,072.0
tensor
2 $1.56 2.000 Launch
rtx5090-1.16.64.160
131,072.0
1 $1.59 1.181 Launch
rtx3080-4.16.64.160
131,072.0
tensor
4 $1.82 1.327 Launch
rtx4090-2.16.64.160
131,072.0
tensor
2 $1.92 129.37 1.996 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 131.49 3.935 Launch
h100-1.16.64.160
131,072.0
1 $3.83 165.97 3.931 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 4.731 Launch
teslaa100-2.24.96.160.nvlink
131,072.0
tensor
2 $4.61 8.405 Launch
h200-1.16.128.160
131,072.0
1 $4.74 7.416 Launch
h200-2.24.256.160.nvlink
131,072.0
tensor
2 $9.40 15.368 Launch
Prices:
Name GPU Price, hour TPS Max Concurrency
teslaa10-2.16.64.160
131,072.0
tensor
2 $0.93 53.99 1.478 Launch
teslaa2-3.32.128.160
131,072.0
pipeline
3 $1.06 1.254 Launch
teslaa2-4.32.128.160
131,072.0
tensor
4 $1.26 2.077 Launch
rtx3090-2.16.64.160
131,072.0
tensor
2 $1.56 73.37 1.599 Launch
rtx3090-2.16.64.160.nvlink
131,072.0
tensor
2 $1.56 1.599 Launch
rtx4090-2.16.64.160
131,072.0
tensor
2 $1.92 1.595 Launch
teslaa100-1.16.64.160
131,072.0
1 $2.37 85.96 3.533 Launch
rtx5090-2.16.64.160
131,072.0
tensor
2 $2.93 2.495 Launch
h100-1.16.64.160
131,072.0
1 $3.83 101.48 3.528 Launch
h100nvl-1.16.96.160
131,072.0
1 $4.11 4.328 Launch
teslaa100-2.24.96.160.nvlink
131,072.0
tensor
2 $4.61 8.004 Launch
h200-1.16.128.160
131,072.0
1 $4.74 7.014 Launch
h200-2.24.256.160.nvlink
131,072.0
tensor
2 $9.40 14.967 Launch

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