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Deephermes 3 Llama 3.1 8B Preview
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Deephermes 3 Llama 3.1 8B Preview

DeepHermes 3 preview based on Llama 3.1 8B from Nous Research, focused on reasoning enhancement. Inherits powerful base capabilities of Llama 3.1, enhanced logical reasoning and complex task processing through DeepHermes optimization techniques. As open-source model, provides high-quality reasoning model choice for research community, suitable for academic research and development projects requiring strong reasoning.
Intelligence(Weak)
Speed(Slow)
Input Supported Modalities
Yes
Is Reasoning Model
128,000
Context Window
-
Maximum Output Tokens
-
Knowledge Cutoff
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Pricing

- /M tokens
Input
- /M tokens
Output
- /M tokens
Blended Price

Quick Simple Comparison

Input

Output

Hermes 3 - Llama-3.1 70B
DeepHermes 3 - Llama-3.1 8B Preview
DeepHermes 3 - Mistral 24B Preview

Basic Parameters

DeepHermes 3 - Llama-3.1 8B PreviewTechnical Parameters
Parameter Count
Not Announced
Context Length
128.00k tokens
Training Data Cutoff
Open Source Category
Open Weights (Permissive License)
Multimodal Support
Text Only
Throughput
Release Date
2025-02-13
Response Speed
0 tokens/s

Benchmark Scores

Below is the performance of DeepHermes 3 - Llama-3.1 8B Preview in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
16.22
Large Language Model Intelligence Level
Coding Index
8.8
Indicator of AI model performance on coding tasks
Math Index
10.9
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
36.5
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
27
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
4.3
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
8.5
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
9.1
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
54.4
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
21.8
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
-
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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