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jan-ai_-_Solar-10.7B-SLERP-gguf
RichardErkhov/jan-ai_-_Solar-10.7B-SLERP-gguf
jan-ai_-_Solar-10.7B-SLERP-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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122 GB
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.gguf141 GB · 100%
At a glance
- Access
- Public
- Created
- Jul 22, 2024
- Updated
- Jul 23, 2024
- SHA
- a59e3d0a
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Solar-10.7B-SLERP - GGUF
- Model creator: https://huggingface.co/jan-ai/
- Original model: https://huggingface.co/jan-ai/Solar-10.7B-SLERP/
| Name | Quant method | Size |
|---|---|---|
| Solar-10.7B-SLERP.Q2_K.gguf | Q2_K | 3.73GB |
| Solar-10.7B-SLERP.IQ3_XS.gguf | IQ3_XS | 4.14GB |
| Solar-10.7B-SLERP.IQ3_S.gguf | IQ3_S | 4.37GB |
| Solar-10.7B-SLERP.Q3_K_S.gguf | Q3_K_S | 4.34GB |
| Solar-10.7B-SLERP.IQ3_M.gguf | IQ3_M | 4.51GB |
| Solar-10.7B-SLERP.Q3_K.gguf | Q3_K | 4.84GB |
| Solar-10.7B-SLERP.Q3_K_M.gguf | Q3_K_M | 4.84GB |
| Solar-10.7B-SLERP.Q3_K_L.gguf | Q3_K_L | 5.26GB |
| Solar-10.7B-SLERP.IQ4_XS.gguf | IQ4_XS | 5.43GB |
| Solar-10.7B-SLERP.Q4_0.gguf | Q4_0 | 5.66GB |
| Solar-10.7B-SLERP.IQ4_NL.gguf | IQ4_NL | 5.72GB |
| Solar-10.7B-SLERP.Q4_K_S.gguf | Q4_K_S | 5.7GB |
| Solar-10.7B-SLERP.Q4_K.gguf | Q4_K | 6.02GB |
| Solar-10.7B-SLERP.Q4_K_M.gguf | Q4_K_M | 6.02GB |
| Solar-10.7B-SLERP.Q4_1.gguf | Q4_1 | 6.27GB |
| Solar-10.7B-SLERP.Q5_0.gguf | Q5_0 | 6.89GB |
| Solar-10.7B-SLERP.Q5_K_S.gguf | Q5_K_S | 6.89GB |
| Solar-10.7B-SLERP.Q5_K.gguf | Q5_K | 7.08GB |
| Solar-10.7B-SLERP.Q5_K_M.gguf | Q5_K_M | 7.08GB |
| Solar-10.7B-SLERP.Q5_1.gguf | Q5_1 | 7.51GB |
| Solar-10.7B-SLERP.Q6_K.gguf | Q6_K | 8.2GB |
| Solar-10.7B-SLERP.Q8_0.gguf | Q8_0 | 10.62GB |
Original model description:
license: apache-2.0 language:
- en
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
Model Description
This model uses the Slerp merge method from the best models on 14th Dec on the OpenLLM Leaderboard:
- 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.
| Metric | Value |
|---|---|
| Avg. | ? |
| ARC (25-shot) | ? |
| HellaSwag (10-shot) | ? |
| MMLU (5-shot) | ? |
| TruthfulQA (0-shot) | ? |
| Winogrande (5-shot) | ? |
| GSM8K (5-shot) | ? |
Acknowlegement
- Created
- Jul 22, 2024
- Updated
- Jul 23, 2024