metadata
tags:
- model-merge
- hermite-interpolation
- deepseek
base_model:
- deepseek-ai/deepseek-math-7b-instruct
- deepseek-ai/deepseek-coder-7b-instruct-v1.5
deepseek-7b-math-code-lambda000
2モデルの線形補間マージモデル。
Merge Configuration
| Parameter | Value |
|---|---|
| Model A | deepseek-ai/deepseek-math-7b-instruct |
| Model B | deepseek-ai/deepseek-coder-7b-instruct-v1.5 |
| λ_a | 0.00 |
| λ_b | 1.00 |
| Formula | θ* = 0.00 × θ_a + 1.00 × θ_b |
| dtype | torch.float16 |
Tokenizer
Union tokenizer (mergekit-style): vocabularies of both models are merged.
- Union vocab size: 100016
- Tokens added from Model B: 14
- Tokens only in Model A: 0
For tokens missing from a model, the other model's embedding is used as fallback before linear interpolation.
Description
This model was created by linearly interpolating the parameters of two models:
- Model A (
deepseek-ai/deepseek-math-7b-instruct): weight = 0.00 - Model B (
deepseek-ai/deepseek-coder-7b-instruct-v1.5): weight = 1.00