solar-pro

Solar Pro Preview: an advanced large language model (LLM) with 22 billion parameters designed to fit into a single GPU

22B

1,092 Pulls Updated 6 hours ago

yesterday

676df95b0bea · 15GB

model
solar
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22.1B
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Q5_K_S
params
{"stop":["<|im_start|>","<|im_end|>"]}
license
MIT License Copyright (c) Upstage Corporation. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
template
{{- range $index, $_ := .Messages }}<|im_start|>{{ .Role }} {{ .Content }} {{- if eq (len (slice $.Messages $index)) 1 }} {{- if eq .Role "user" }}<|im_end|> <|im_start|>assistant {{ end }} {{- else }}<|im_end|> {{ end }} {{- end }}

Readme

Solar Pro Preview is an advanced large language model (LLM) featuring 22 billion parameters, optimized to operate on a single GPU. It demonstrates superior performance compared to LLMs with fewer than 30 billion parameters and delivers results comparable to much larger models, such as Llama 3.1 with 70 billion parameters.

Developed using an enhanced version of the depth up-scaling method, Solar Pro Preview scales a Phi-3-medium model with 14 billion parameters to 22 billion, designed to run on a GPU with 80GB of VRAM. The training strategy and dataset have been meticulously curated, leading to significant performance improvements over Phi-3-medium, especially on benchmarks like MMLU-Pro and IFEval, which assess a model’s knowledge and instruction-following capabilities.

As a pre-release version of the official Solar Pro, Solar Pro Preview comes with limitations on language coverage and a maximum context length of 4K. Despite these restrictions, the model stands out for its efficiency and capability, with potential for future extensions to support more languages and functionalities.

The official version of Solar Pro, scheduled for release in November 2024, will include expanded language support and longer context windows.

References

Blog post

Hugging Face