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Llama 3.1 Instruct 8B
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Llama 3.1 Instruct 8B

Llama 3.1 8B Instruct 是一個針對對話應用場景優化的多語言大型語言模型。它具備128K的上下文長度、最先進的工具使用能力以及強大的推理能力。
Intelligence(Relatively Weak)
Speed(Relatively Fast)
Input Supported Modalities
No
Is Reasoning Model
128,000
Context Window
131,072
Maximum Output Tokens
2023-12-31
Knowledge Cutoff
Go Compare

Pricing

￥0.22 /M tokens
Input
￥0.22 /M tokens
Output
￥0.72 /M tokens
Blended Price

Quick Simple Comparison

Input

Output

Llama 4 Scout
￥0.08
Llama 4 Maverick
￥0.17
Llama 3.3 Instruct 70B
￥0.2

Basic Parameters

Llama 3.1 Instruct 8BTechnical Parameters
Parameter Count
8,000.0M
Context Length
128.00k tokens
Training Data Cutoff
2023-12-31
Open Source Category
Open Weights (Permissive License)
Multimodal Support
Text Only
Throughput
2,047
Release Date
2024-07-23
Response Speed
189.60,893 tokens/s

Benchmark Scores

Below is the performance of Llama 3.1 Instruct 8B in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
23.66
Large Language Model Intelligence Level
Coding Index
12.42
Indicator of AI model performance on coding tasks
Math Index
29.8
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
47.6
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
25.9
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
5.1
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
11.6
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
13.2
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
66.5
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
51.9
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
7.7
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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