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SOLAR-13B-Instruct-v1.0 - GGUF
- Model creator: https://huggingface.co/vicgalle/
- Original model: https://huggingface.co/vicgalle/SOLAR-13B-Instruct-v1.0/
Original model description:
license: apache-2.0 tags: - mergekit - merge - solar base_model: - upstage/SOLAR-10.7B-Instruct-v1.0 model-index: - name: SOLAR-13B-Instruct-v1.0 results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 57.25 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/SOLAR-13B-Instruct-v1.0 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 78.03 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/SOLAR-13B-Instruct-v1.0 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 55.75 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/SOLAR-13B-Instruct-v1.0 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 61.99 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/SOLAR-13B-Instruct-v1.0 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 70.24 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/SOLAR-13B-Instruct-v1.0 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 16.6 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/SOLAR-13B-Instruct-v1.0 name: Open LLM Leaderboard
SOLAR-13B-Instruct-v1.0
This is SOLAR-10.7B, but upscaled to 13B, to optimize VRAM usage of typical GPU cards (a 4bit quant fits in 12GB).
Evaluations coming soon!
This is a frankenmerge model created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: upstage/SOLAR-10.7B-Instruct-v1.0
layer_range: [0, 28]
- sources:
- model: upstage/SOLAR-10.7B-Instruct-v1.0
layer_range: [20, 48]
merge_method: passthrough
dtype: float16
Prompt template
The same as in SOLAR-10.7B:
<s> ### User:
{prompt}
### Assistant:
{response}</s>
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 56.65 |
| AI2 Reasoning Challenge (25-Shot) | 57.25 |
| HellaSwag (10-Shot) | 78.03 |
| MMLU (5-Shot) | 55.75 |
| TruthfulQA (0-shot) | 61.99 |
| Winogrande (5-shot) | 70.24 |
| GSM8k (5-shot) | 16.60 |
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