| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
| [Discord](https://discord.gg/pvy7H8DZMG) | |
| [Request more models](https://github.com/RichardErkhov/quant_request) | |
| yi-bagel-2x34b - GGUF | |
| - Model creator: https://huggingface.co/NLPinas/ | |
| - Original model: https://huggingface.co/NLPinas/yi-bagel-2x34b/ | |
| | Name | Quant method | Size | | |
| | ---- | ---- | ---- | | |
| | [yi-bagel-2x34b.Q2_K.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q2_K.gguf) | Q2_K | 11.94GB | | |
| | [yi-bagel-2x34b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.IQ3_XS.gguf) | IQ3_XS | 13.26GB | | |
| | [yi-bagel-2x34b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.IQ3_S.gguf) | IQ3_S | 13.99GB | | |
| | [yi-bagel-2x34b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q3_K_S.gguf) | Q3_K_S | 13.93GB | | |
| | [yi-bagel-2x34b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.IQ3_M.gguf) | IQ3_M | 14.5GB | | |
| | [yi-bagel-2x34b.Q3_K.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q3_K.gguf) | Q3_K | 15.51GB | | |
| | [yi-bagel-2x34b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q3_K_M.gguf) | Q3_K_M | 15.51GB | | |
| | [yi-bagel-2x34b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q3_K_L.gguf) | Q3_K_L | 16.89GB | | |
| | [yi-bagel-2x34b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.IQ4_XS.gguf) | IQ4_XS | 17.36GB | | |
| | [yi-bagel-2x34b.Q4_0.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q4_0.gguf) | Q4_0 | 18.13GB | | |
| | [yi-bagel-2x34b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.IQ4_NL.gguf) | IQ4_NL | 18.3GB | | |
| | [yi-bagel-2x34b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q4_K_S.gguf) | Q4_K_S | 18.25GB | | |
| | [yi-bagel-2x34b.Q4_K.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q4_K.gguf) | Q4_K | 19.24GB | | |
| | [yi-bagel-2x34b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q4_K_M.gguf) | Q4_K_M | 12.05GB | | |
| | [yi-bagel-2x34b.Q4_1.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q4_1.gguf) | Q4_1 | 17.51GB | | |
| | [yi-bagel-2x34b.Q5_0.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q5_0.gguf) | Q5_0 | 17.49GB | | |
| | [yi-bagel-2x34b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q5_K_S.gguf) | Q5_K_S | 21.55GB | | |
| | [yi-bagel-2x34b.Q5_K.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q5_K.gguf) | Q5_K | 22.65GB | | |
| | [yi-bagel-2x34b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q5_K_M.gguf) | Q5_K_M | 22.65GB | | |
| | [yi-bagel-2x34b.Q5_1.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q5_1.gguf) | Q5_1 | 24.05GB | | |
| | [yi-bagel-2x34b.Q6_K.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q6_K.gguf) | Q6_K | 26.28GB | | |
| | [yi-bagel-2x34b.Q8_0.gguf](https://huggingface.co/RichardErkhov/NLPinas_-_yi-bagel-2x34b-gguf/blob/main/yi-bagel-2x34b.Q8_0.gguf) | Q8_0 | 34.03GB | | |
| Original model description: | |
| --- | |
| base_model: | |
| - jondurbin/bagel-dpo-34b-v0.2 | |
| - jondurbin/nontoxic-bagel-34b-v0.2 | |
| tags: | |
| - mergekit | |
| - merge | |
| license: other | |
| license_name: yi-license | |
| license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE | |
| --- | |
| # yi-bagel-2x34b | |
| Released January 11, 2024 | |
|  | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). For more information, kindly refer to the model cards from jondurbin linked in the section below. This model debuted in the [leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) at rank #4 (January 11, 2024). | |
| ## Merge Details | |
| ### Merge Method | |
| This model is an expertimental merge using the [linear](https://arxiv.org/abs/2203.05482) merge method. This is to assess the degree of which the DPO has an effect, in terms of censoring, as used in [jondurbin/bagel-dpo-34b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2). | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [jondurbin/bagel-dpo-34b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2) | |
| * [jondurbin/nontoxic-bagel-34b-v0.2](https://huggingface.co/jondurbin/nontoxic-bagel-34b-v0.2) | |
| ## Open LLM Leaderboard Metrics (as of January 11, 2024) | |
| | Metric | Value | | |
| |-----------------------|-------| | |
| | MMLU (5-shot) | 76.60 | | |
| | ARC (25-shot) | 72.70 | | |
| | HellaSwag (10-shot) | 85.44 | | |
| | TruthfulQA (0-shot) | 71.42 | | |
| | Winogrande (5-shot) | 82.72 | | |
| | GSM8K (5-shot) | 60.73 | | |
| | Average | 74.93 | | |
| According to the leaderboard description, here are the benchmarks used for the evaluation: | |
| - [MMLU](https://arxiv.org/abs/2009.03300) (5-shot) - a test to measure a text model’s multitask accuracy. The test covers 57 tasks including elementary mathematics, US history, computer science, law, and more. | |
| - [AI2 Reasoning Challenge](https://arxiv.org/abs/1803.05457) -ARC- (25-shot) - a set of grade-school science questions. | |
| - [HellaSwag](https://arxiv.org/abs/1905.07830) (10-shot) - a test of commonsense inference, which is easy for humans (~95%) but challenging for SOTA models. | |
| - [TruthfulQA](https://arxiv.org/abs/2109.07958) (0-shot) - a test to measure a model’s propensity to reproduce falsehoods commonly found online. | |
| - [Winogrande](https://arxiv.org/abs/1907.10641) (5-shot) - an adversarial and difficult Winograd benchmark at scale, for commonsense reasoning. | |
| - [GSM8k](https://arxiv.org/abs/2110.14168) (5-shot) - diverse grade school math word problems to measure a model's ability to solve multi-step mathematical reasoning problems. | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| models: | |
| - model: jondurbin/nontoxic-bagel-34b-v0.2 | |
| parameters: | |
| weight: 0.5 | |
| - model: jondurbin/bagel-dpo-34b-v0.2 | |
| parameters: | |
| weight: 0.5 | |
| merge_method: linear | |
| dtype: float16 | |
| ``` | |
| ## Further Information | |
| For additional information or inquiries about yi-bagel-2x34b, please contact the developer through email: [email protected]. | |