Solar-10.7B-SLERP

WARNING

This is a model file only for evaluation. Please use the model here:

• Model: Solar-10.7B-SLERP
• GGUF: Solar-10.7B-SLERP-GGUF

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Model Description

This model uses the Slerp merge method from the best models on 14th Dec on the OpenLLM Leaderboard:

1. upstage/SOLAR-10.7B-Instruct-v1.0
2. janhq/Pandora-v1-10.7B

• base model: upstage/SOLAR-10.7B-Instruct-v1.0

The yaml config file for this model is here:

slices:
  - sources:
      - model: upstage/SOLAR-10.7B-Instruct-v1.0
        layer_range: [0, 48]
      - model: janhq/Pandora-v1-10.7B
        layer_range: [0, 48]
merge_method: slerp
base_model: upstage/SOLAR-10.7B-Instruct-v1.0
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Prompt template

• ChatML

<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Run this model

You can run this model using Jan on Mac, Windows, or Linux.

Jan is an open source, ChatGPT alternative that is:

💻 100% offline on your machine: Your conversations remain confidential, and visible only to you.

🗂️ An Open File Format: Conversations and model settings stay on your computer and can be exported or deleted at any time.

🌐 OpenAI Compatible: Local server on port 1337 with OpenAI compatible endpoints

🌍 Open Source & Free: We build in public; check out our Github

• Please use the Solar-10.7B-SLERP-GGUF when using on Jan.

About Jan

Jan believes in the need for an open-source AI ecosystem and is building the infra and tooling to allow open-source AIs to compete on a level playing field with proprietary ones.

Jan's long-term vision is to build a cognitive framework for future robots, who are practical, useful assistants for humans and businesses in everyday life.

Jan Model Merger

This is a test project for merging models.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here.

Acknowlegement

• mergekit
• DARE
• SLERP
• lm-evaluation-harness