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Gemma 2 27B
Gemma 2 27B
Gemma 2 27B IT 是 Google 先進開源語言模型的一個指令調整版本。它基於與 Gemini 相同的研究和技術構建，通過有監督微調、從更大模型中蒸餾以及強化學習從人類反饋（RLHF）進行優化，適用於對話應用。該模型在包括問答、摘要和推理在內的文本生成任務上表現出色。
Intelligence(Relatively Weak)
Speed(Slow)
Input Supported Modalities
No
Is Reasoning Model
8,192
Context Window
8,192
Maximum Output Tokens
-
Knowledge Cutoff
Pricing
- /M tokens
Input
- /M tokens
Output
￥1.84 /M tokens
Blended Price
Quick Simple Comparison
Gemini 2.0 Pro Experimental (Feb '25)
Gemini 1.5 Pro (May '24)
￥2.5
Gemini 2.0 Flash Thinking Experimental (Dec '24)
Basic Parameters
GPT-4.1 Technical Parameters
Parameter Count
27,200.0M
Context Length
8,192 tokens
Training Data Cutoff
Open Source Category
Open Weights (Permissive License)
Multimodal Support
Text Only
Throughput
Release Date
2024-06-27
Response Speed
0 tokens/s
Benchmark Scores
Below is the performance of claude-monet in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
2556
Large Language Model Intelligence Level
Coding Index
-
Indicator of AI model performance on coding tasks
Math Index
-
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
57.5
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
35.7
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
3.7
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
-
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
12.5
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
75.7
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
54.1
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
9
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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