File size: 2,659 Bytes
d065b19 ca7a890 be9cdf8 ca7a890 be9cdf8 ca7a890 be9cdf8 ca7a890 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
---
base_model:
- deepseek-ai/DeepSeek-R1-Distill-Llama-8B
- Skywork/Skywork-o1-Open-Llama-3.1-8B
- NousResearch/DeepHermes-3-Llama-3-8B-Preview
- O1-OPEN/OpenO1-LLama-8B-v0.1
- SimpleBerry/LLaMA-O1-Supervised-1129
- terrycraddock/Reflection-Llama-3.1-8B
language:
- en
tags:
- problem-solving
- chain-of-thought
- reasoning
license: llama3.1
---
# Llama3.1-deep-o1
This is a merge of several DeepSeek R1 distilled and O1-style long chain-of-thought (CoT) large language models (LLMs). It is designed for generating long, coherent solutions and excels at problem-solving tasks among models with 8 billion parameters.
## Model Overview
**Key Features:**
- Generates detailed, manual-like explanations for complex questions.
- Suitable for creating solution outlines, analyzing problems, and writing essays.
**Limitations:**
- Does not follow standard CoT formats like `<thought>` tags.
- Prone to calculation errors and careless mistakes in reasoning.
- Struggles with multiturn conversations and user alignment.
- For example, it may ask questions mid-response but continue answering regardless, in line with its CoT origins.
## Merge Details
The model was created using the following YAML configuration:
```yaml
models:
- model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
parameters:
weight: 1.5
- model: Skywork/Skywork-o1-Open-Llama-3.1-8B
parameters:
weight: 1.5
- model: NousResearch/DeepHermes-3-Llama-3-8B-Preview
- model: O1-OPEN/OpenO1-LLama-8B-v0.1
- model: SimpleBerry/LLaMA-O1-Supervised-1129
- model: terrycraddock/Reflection-Llama-3.1-8B
merge_method: linear
parameters:
weight: 1
dtype: bfloat16
```
## Usage Recommendations
- To generate hints for scientific problem solving
- As a foundation model for finetuning and merging
### Examples to Try:
- Write the equations for glycolysis and pyruvate oxidation.
- Calculate net ATP formation from glucose metabolism (excluding electron transport chain).
- Integrate x^2 e^x dx.
- Prove that the complete bipartite graph K_{3,3} isn't planar.
- Derive a formula for the critical angle between two media with refractive indices n_1 and n_2.
- Compare steam vs. diesel engines including their capabilities and historical significance.
### Notes on Performance:
While the model provides coherent and expert-like responses, users should verify its outputs for accuracy - especially in calculations or logical reasoning tasks.
## Warning
- This model is experimental and may require careful validation when used for critical applications.
- It is not optimized for conversational tasks but performs well in single-turn question answering. |