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LFM 40B
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LFM 40B

Large-scale foundation model with 40B parameter scale, designed for complex language tasks. Though specific technical details are limited, parameter scale suggests large language model category. Expected to have strong capabilities in text understanding, generation, and reasoning, suitable for enterprise-grade applications requiring high-quality natural language processing, handling complex document analysis, content creation, and conversation tasks.
Intelligence(Relatively Weak)
Speed(Relatively Fast)
Input Supported Modalities
Yes
Is Reasoning Model
32,000
Context Window
-
Maximum Output Tokens
-
Knowledge Cutoff
Go Compare

Pricing

- /M tokens
Input
- /M tokens
Output
￥1.08 /M tokens
Blended Price

Quick Simple Comparison

Input

Output

LFM 40B

Basic Parameters

LFM 40BTechnical Parameters
Parameter Count
Not Announced
Context Length
32.00k tokens
Training Data Cutoff
Open Source Category
Proprietary
Multimodal Support
Text Only
Throughput
Release Date
2024-09-30
Response Speed
162.37,137 tokens/s

Benchmark Scores

Below is the performance of LFM 40B in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
21.73
Large Language Model Intelligence Level
Coding Index
8.34
Indicator of AI model performance on coding tasks
Math Index
25.17
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
42.5
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
32.7
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
4.9
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
9.6
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
7.1
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
50.5
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
48
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
2.3
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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