From 0fe6db60c8e9286ef45397b7bc7bc7ab38e00d3b Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 28 May 2026 19:32:16 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: fblgit/LUNA-SOLARkrautLM-Instruct Source: Original Platform --- .gitattributes | 35 +++ README.md | 389 +++++++++++++++++++++++++++ config.json | 29 ++ generation_config.json | 8 + model-00001-of-00005.safetensors | 3 + model-00002-of-00005.safetensors | 3 + model-00003-of-00005.safetensors | 3 + model-00004-of-00005.safetensors | 3 + model-00005-of-00005.safetensors | 3 + model.safetensors.index.json | 442 +++++++++++++++++++++++++++++++ special_tokens_map.json | 30 +++ tokenizer.model | 3 + tokenizer_config.json | 43 +++ 13 files changed, 994 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00005.safetensors create mode 100644 model-00002-of-00005.safetensors create mode 100644 model-00003-of-00005.safetensors create mode 100644 model-00004-of-00005.safetensors create mode 100644 model-00005-of-00005.safetensors create mode 100644 model.safetensors.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.model create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..d9c9d0b --- /dev/null +++ b/README.md @@ -0,0 +1,389 @@ +--- +language: +- en +- de +license: cc-by-nc-4.0 +library_name: transformers +tags: +- finetune +- dpo +- Instruct +- augmentation +- german +datasets: +- argilla/distilabel-math-preference-dpo +pipeline_tag: text-generation +model-index: +- name: LUNA-SOLARkrautLM-Instruct + 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: 71.16 + name: normalized accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/LUNA-SOLARkrautLM-Instruct + 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: 88.28 + name: normalized accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/LUNA-SOLARkrautLM-Instruct + 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: 66.11 + name: accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/LUNA-SOLARkrautLM-Instruct + 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: 73.37 + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/LUNA-SOLARkrautLM-Instruct + 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: 82.95 + name: accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/LUNA-SOLARkrautLM-Instruct + 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: 60.88 + name: accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/LUNA-SOLARkrautLM-Instruct + name: Open LLM Leaderboard +--- + +![Juanako.AI & SauerkrautLM Productions](https://vago-solutions.de/wp-content/uploads/2023/12/sauerkrautlm-solar.png "LUNA-SOLARkrautLM-Instruct") +## VAGO solutions LUNA-SOLARkrautLM-Instruct +Introducing **LUNA-SOLARkrautLM-Instruct** – a UNA-Sauerkraut version of the powerful [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0) ! +Aligned with **DPO** and tamed with **UNA**. + +# Table of Contents +1. [Overview of all LUNA-SOLARkrautLM-Instruct models](#all-sauerkrautlm-solar-instruct-models) +2. [Model Details](#model-details) + - [Prompt template](#prompt-template) + - [Training Dataset](#training-dataset) + - [Data Contamination Test](#data-contamination-test-results) +3. [Evaluation](#evaluation) +5. [Disclaimer](#disclaimer) +6. [Contact](#contact) +7. [Collaborations](#collaborations) +8. [Acknowledgement](#acknowledgement) + + +## Model Details +**LUNA-SOLARkrautLM-Instruct** +- **Model Type:** LUNA-SOLARkrautLM-Instruct is a UNA Model based on [fblgit/UNA-SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/fblgit/UNA-SOLAR-10.7B-Instruct-v1.0) and the powerful set of [SauerkrautLM-SOLAR-Instruct](https://huggingface.co/VAGOsolutions/SauerkrautLM-SOLAR-Instruct/) +- **Language(s):** English, German +- **License:** cc-by-nc-4.0 +- **Contact:** [Website](https://vago-solutions.de/#Kontakt) [David Golchinfar](mailto:golchinfar@vago-solutions.de) [Juanako.AI - UNA](mailto:info@juanako.ai) + +### Training Dataset: + +LUNA-SOLARkrautLM-Instruct was trained with mix of German data augmentation and translated data. +Aligned through **DPO** with our **new German SauerkrautLM-DPO dataset** based on parts of the SFT SauerkrautLM dataset +as chosen answers and [Sauerkraut-7b-HerO](https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-HerO) as rejected answers. Added with additional **translated Parts of the [HuggingFaceH4/ultrafeedback_binarized](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized)** (Our dataset do not contain any TruthfulQA prompts - check Data Contamination Test Results) and **[argilla/distilabel-math-preference-dpo](https://huggingface.co/datasets/argilla/distilabel-math-preference-dpo).** +We found, that only a simple translation of training data can lead to unnatural German phrasings. +Data augmentation techniques were used to grant grammatical, syntactical correctness and a more natural German wording in our training data. + +We improved the German language skills on this model. Nevertheless, certain formulations may occur that are not entirely correct. + + +### Data Contamination Test Results + +Some models on the HuggingFace leaderboard had problems with wrong data getting mixed in. +We checked our SauerkrautLM-DPO dataset with a special test [1] on this model as target model and upstage/SOLAR-10.7B-Instruct-v1.0 as reference model. +The HuggingFace team used the same methods [2, 3]. + +Our results, with `result < 0.1, %:` being well below 0.9, indicate that our dataset is free from contamination. + +*The data contamination test results of HellaSwag and Winograde will be added once [1] supports them.* + +| Dataset | ARC | MMLU | TruthfulQA | GSM8K | +|------------------------------|-------|-------|-------|-------| +| **SauerkrautLM-DPO**| result < 0.1, %: 0.0 |result < 0.1, %: 0.09 | result < 0.1, %: 0.13 | result < 0.1, %: 0.16 | + +[1] https://github.com/swj0419/detect-pretrain-code-contamination + +[2] https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard/discussions/474#657f2245365456e362412a06 + +[3] https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard/discussions/265#657b6debf81f6b44b8966230 + +### Prompt Template: +``` +<|im_start|>system +Du bist LUNA-SOLARkrautLM, ein großes Sprachmodell, das höflich und kompetent antwortet.<|im_end|> +<|im_start|>user +Wie geht es dir?<|im_end|> +<|im_start|>assistant + +``` + +``` +### User: +Hello, how are you? + +### Assistant: +Hi there! I am an AI language model, so I don't have personal feelings or emotions in the traditional sense. However, I can assure you that my systems and processes are functioning well at this moment, allowing me to provide helpful responses for your queries. +How may I assist you today? + +``` + +## Evaluation +``` + +hf (pretrained=fblgit/LUNA-SOLARkrautLM-Instruct), gen_kwargs: (), limit: None, num_fewshot: 5, batch_size: auto +|Tasks|Version| Filter |n-shot| Metric |Value | |Stderr| +|-----|-------|----------|-----:|-----------|-----:|---|-----:| +|gsm8k|Yaml |get-answer| 5|exact_match|0.6467|± |0.0132| + +hf (pretrained=fblgit/LUNA-SOLARkrautLM-Instruct), gen_kwargs: (), limit: None, num_fewshot: 0, batch_size: auto (64) +| Tasks |Version|Filter|n-shot|Metric|Value | |Stderr| +|--------------|-------|------|-----:|------|-----:|---|-----:| +|truthfulqa_mc2|Yaml |none | 0|acc |0.7368|± |0.0149| + +hf (pretrained=fblgit/LUNA-SOLARkrautLM-Instruct), gen_kwargs: (), limit: None, num_fewshot: 25, batch_size: auto (32) +| Tasks |Version|Filter|n-shot| Metric |Value| |Stderr| +|-------------|-------|------|-----:|--------|----:|---|-----:| +|arc_challenge|Yaml |none | 25|acc |0.692|± |0.0135| +| | |none | 25|acc_norm|0.715|± |0.0132| + +hf (pretrained=fblgit/LUNA-SOLARkrautLM-Instruct), gen_kwargs: (), limit: None, num_fewshot: 0, batch_size: auto (64) +| Tasks |Version|Filter|n-shot|Metric| Value | |Stderr| +|-----------|-------|------|-----:|------|------:|---|-----:| +|paws_de |Yaml |none | 0|acc | 0.3965|± |0.0109| +|wmt16-en-de|Yaml |none | 0|bleu | 3.5784|± |0.1325| +| | |none | 0|ter |64.5707|± |0.4514| +| | |none | 0|chrf |45.7068|± |0.3861| +|xnli_de |Yaml |none | 0|acc | 0.4129|± |0.0099| + +hf (pretrained=fblgit/LUNA-SOLARkrautLM-Instruct), gen_kwargs: (), limit: None, num_fewshot: 10, batch_size: auto (32) +| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr| +|---------|-------|------|-----:|--------|-----:|---|-----:| +|hellaswag|Yaml |none | 10|acc |0.7131|± |0.0045| +| | |none | 10|acc_norm|0.8815|± |0.0032| + +hf (pretrained=fblgit/LUNA-SOLARkrautLM-Instruct), gen_kwargs: (), limit: None, num_fewshot: 5, batch_size: auto (64) +| Tasks |Version|Filter|n-shot|Metric| Value | |Stderr| +|-----------|-------|------|-----:|------|------:|---|-----:| +|wmt16-de-en|Yaml |none | 5|bleu |14.9310|± |0.8014| +| | |none | 5|ter |46.3206|± |0.4087| +| | |none | 5|chrf |60.8637|± |0.4436| +|wmt16-en-de|Yaml |none | 5|bleu | 6.2016|± |0.2918| +| | |none | 5|ter |63.9997|± |0.4591| +| | |none | 5|chrf |51.1399|± |0.3978| +|xnli_de |Yaml |none | 5|acc | 0.4703|± |0.0100| + +hf (pretrained=fblgit/LUNA-SOLARkrautLM-Instruct,dtype=float16), gen_kwargs: (), limit: None, num_fewshot: 5, batch_size: auto (16) +| Tasks |Version|Filter|n-shot|Metric|Value | |Stderr| +|---------------------------------------|-------|------|-----:|------|-----:|---|-----:| +|mmlu |N/A |none | 0|acc |0.6461|± |0.1215| +| - humanities |N/A |none | 5|acc |0.5960|± |0.1200| +| - formal_logic |Yaml |none | 5|acc |0.4683|± |0.0446| +| - high_school_european_history |Yaml |none | 5|acc |0.8121|± |0.0305| +| - high_school_us_history |Yaml |none | 5|acc |0.8480|± |0.0252| +| - high_school_world_history |Yaml |none | 5|acc |0.8312|± |0.0244| +| - international_law |Yaml |none | 5|acc |0.7851|± |0.0375| +| - jurisprudence |Yaml |none | 5|acc |0.7685|± |0.0408| +| - logical_fallacies |Yaml |none | 5|acc |0.7423|± |0.0344| +| - moral_disputes |Yaml |none | 5|acc |0.7283|± |0.0239| +| - moral_scenarios |Yaml |none | 5|acc |0.3899|± |0.0163| +| - philosophy |Yaml |none | 5|acc |0.7074|± |0.0258| +| - prehistory |Yaml |none | 5|acc |0.7716|± |0.0234| +| - professional_law |Yaml |none | 5|acc |0.4824|± |0.0128| +| - world_religions |Yaml |none | 5|acc |0.7661|± |0.0325| +| - other |N/A |none | 5|acc |0.7097|± |0.0900| +| - business_ethics |Yaml |none | 5|acc |0.7700|± |0.0423| +| - clinical_knowledge |Yaml |none | 5|acc |0.6792|± |0.0287| +| - college_medicine |Yaml |none | 5|acc |0.6647|± |0.0360| +| - global_facts |Yaml |none | 5|acc |0.3600|± |0.0482| +| - human_aging |Yaml |none | 5|acc |0.6861|± |0.0311| +| - management |Yaml |none | 5|acc |0.8350|± |0.0368| +| - marketing |Yaml |none | 5|acc |0.8504|± |0.0234| +| - medical_genetics |Yaml |none | 5|acc |0.6700|± |0.0473| +| - miscellaneous |Yaml |none | 5|acc |0.7893|± |0.0146| +| - nutrition |Yaml |none | 5|acc |0.7549|± |0.0246| +| - professional_accounting |Yaml |none | 5|acc |0.5213|± |0.0298| +| - professional_medicine |Yaml |none | 5|acc |0.7353|± |0.0268| +| - virology |Yaml |none | 5|acc |0.5783|± |0.0384| +| - social_sciences |N/A |none | 5|acc |0.7501|± |0.0684| +| - econometrics |Yaml |none | 5|acc |0.5175|± |0.0470| +| - high_school_geography |Yaml |none | 5|acc |0.8485|± |0.0255| +| - high_school_government_and_politics|Yaml |none | 5|acc |0.8912|± |0.0225| +| - high_school_macroeconomics |Yaml |none | 5|acc |0.6615|± |0.0240| +| - high_school_microeconomics |Yaml |none | 5|acc |0.7311|± |0.0288| +| - high_school_psychology |Yaml |none | 5|acc |0.8385|± |0.0158| +| - human_sexuality |Yaml |none | 5|acc |0.7023|± |0.0401| +| - professional_psychology |Yaml |none | 5|acc |0.6683|± |0.0190| +| - public_relations |Yaml |none | 5|acc |0.6909|± |0.0443| +| - security_studies |Yaml |none | 5|acc |0.7633|± |0.0272| +| - sociology |Yaml |none | 5|acc |0.8358|± |0.0262| +| - us_foreign_policy |Yaml |none | 5|acc |0.8800|± |0.0327| +| - stem |N/A |none | 5|acc |0.5569|± |0.1360| +| - abstract_algebra |Yaml |none | 5|acc |0.3800|± |0.0488| +| - anatomy |Yaml |none | 5|acc |0.6148|± |0.0420| +| - astronomy |Yaml |none | 5|acc |0.7237|± |0.0364| +| - college_biology |Yaml |none | 5|acc |0.7708|± |0.0351| +| - college_chemistry |Yaml |none | 5|acc |0.4600|± |0.0501| +| - college_computer_science |Yaml |none | 5|acc |0.5400|± |0.0501| +| - college_mathematics |Yaml |none | 5|acc |0.2700|± |0.0446| +| - college_physics |Yaml |none | 5|acc |0.3333|± |0.0469| +| - computer_security |Yaml |none | 5|acc |0.7300|± |0.0446| +| - conceptual_physics |Yaml |none | 5|acc |0.6213|± |0.0317| +| - electrical_engineering |Yaml |none | 5|acc |0.6276|± |0.0403| +| - elementary_mathematics |Yaml |none | 5|acc |0.4788|± |0.0257| +| - high_school_biology |Yaml |none | 5|acc |0.8065|± |0.0225| +| - high_school_chemistry |Yaml |none | 5|acc |0.5123|± |0.0352| +| - high_school_computer_science |Yaml |none | 5|acc |0.7000|± |0.0461| +| - high_school_mathematics |Yaml |none | 5|acc |0.3889|± |0.0297| +| - high_school_physics |Yaml |none | 5|acc |0.3576|± |0.0391| +| - high_school_statistics |Yaml |none | 5|acc |0.5926|± |0.0335| +| - machine_learning |Yaml |none | 5|acc |0.4554|± |0.0473| + +| Groups |Version|Filter|n-shot|Metric|Value | |Stderr| +|------------------|-------|------|-----:|------|-----:|---|-----:| +|mmlu |N/A |none | 0|acc |0.6461|± |0.1215| +| - humanities |N/A |none | 5|acc |0.5960|± |0.1200| +| - other |N/A |none | 5|acc |0.7097|± |0.0900| +| - social_sciences|N/A |none | 5|acc |0.7501|± |0.0684| +| - stem |N/A |none | 5|acc |0.5569|± |0.1360| +``` +### MT-Bench +``` +########## Average ########## + score +model +gpt-4 8.990625 +gpt-3.5-turbo 7.943750 +claude-instant-v1 7.905660 +claude-v1 7.900000 +UNA-SOLAR-10.7B-Instruct-v1.0 7.521875 +LUNA-SOLARkrautLM-Instruct 7.462500 +vicuna-33b-v1.3 7.121875 +wizardlm-30b 7.009375 +Llama-2-70b-chat 6.856250 +Llama-2-13b-chat 6.650000 +guanaco-33b 6.528125 +tulu-30b 6.434375 +guanaco-65b 6.409375 +oasst-sft-7-llama-30b 6.409375 +palm-2-chat-bison-001 6.400000 +mpt-30b-chat 6.393750 +vicuna-13b-v1.3 6.387500 +wizardlm-13b 6.353125 +Llama-2-7b-chat 6.268750 +vicuna-7b-v1.3 5.996875 +baize-v2-13b 5.750000 +nous-hermes-13b 5.553459 +mpt-7b-chat 5.459119 +gpt4all-13b-snoozy 5.452830 +koala-13b 5.350000 +mpt-30b-instruct 5.218750 +falcon-40b-instruct 5.168750 +h2ogpt-oasst-open-llama-13b 4.625000 +alpaca-13b 4.531250 +chatglm-6b 4.500000 +oasst-sft-4-pythia-12b 4.318750 +rwkv-4-raven-14b 3.984375 +dolly-v2-12b 3.275000 +fastchat-t5-3b 3.040625 +stablelm-tuned-alpha-7b 2.753125 +llama-13b 2.606250 +``` + +## Disclaimer +We must inform users that despite our best efforts in data cleansing, the possibility of uncensored content slipping through cannot be entirely ruled out. +However, we cannot guarantee consistently appropriate behavior. Therefore, if you encounter any issues or come across inappropriate content, we kindly request that you inform us through the contact information provided. +Additionally, it is essential to understand that the licensing of these models does not constitute legal advice. We are not held responsible for the actions of third parties who utilize our models. +  +## Contact +If you are interested in customized LLMs for business applications, please get in contact with us via our website or contact us at [Dr. Daryoush Vaziri](mailto:vaziri@vago-solutions.de). We are also grateful for your feedback and suggestions. +  +## Collaborations +We are also keenly seeking support and investment for our startup, [VAGO Solutions](https://huggingface.co/VAGOsolutions), where we continuously advance the development of robust language models designed to address a diverse range of purposes and requirements. If the prospect of collaboratively navigating future challenges excites you, we warmly invite you to reach out to us. + +[Juanako.AI](https://huggingface.co/fblgit) is also seeking support and investment for our startup, we also are open for collaborating with other labs to make awesome models like this one. + +## Acknowledgement +Big Hug to [VAGO Solutions](https://huggingface.co/VAGOsolutions), we merely used our UNA transformers library on their code and dataset, nothing else. This won't be possible without them, thanks! + +Many thanks to [argilla](https://huggingface.co/datasets/argilla) and [Huggingface](https://huggingface.co) for providing such valuable datasets to the Open-Source community. And of course a big thanks to [upstage](https://huggingface.co/upstage) for providing the open source community with their latest technology! + +# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) +Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_fblgit__LUNA-SOLARkrautLM-Instruct) + +| Metric |Value| +|---------------------------------|----:| +|Avg. |73.79| +|AI2 Reasoning Challenge (25-Shot)|71.16| +|HellaSwag (10-Shot) |88.28| +|MMLU (5-Shot) |66.11| +|TruthfulQA (0-shot) |73.37| +|Winogrande (5-shot) |82.95| +|GSM8k (5-shot) |60.88| + diff --git a/config.json b/config.json new file mode 100644 index 0000000..6740de6 --- /dev/null +++ b/config.json @@ -0,0 +1,29 @@ +{ + "_name_or_path": "fblgit/UNA-SOLAR-10.7B-Instruct-v1.0", + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 1, + "eos_token_id": 2, + 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