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--- |
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tags: |
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- merge |
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license: other |
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model-index: |
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- name: QuartetAnemoi-70B-t0.0001 |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 73.38 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alchemonaut/QuartetAnemoi-70B-t0.0001 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 88.9 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alchemonaut/QuartetAnemoi-70B-t0.0001 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 75.42 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alchemonaut/QuartetAnemoi-70B-t0.0001 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 69.53 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alchemonaut/QuartetAnemoi-70B-t0.0001 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 85.32 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alchemonaut/QuartetAnemoi-70B-t0.0001 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 68.61 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=alchemonaut/QuartetAnemoi-70B-t0.0001 |
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name: Open LLM Leaderboard |
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--- |
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<img src=https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001/resolve/main/anemoi.png> |
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# QuartetAnemoi-70B-t0.0001 |
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A sequential merge using a custom algorithm (NearSwap) of: |
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- [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf) |
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- [Sao10K/WinterGoddess-1.4x-70B-L2](https://huggingface.co/Sao10K/WinterGoddess-1.4x-70B-L2) |
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- [Aurora-Nights-70B-v1.0](https://huggingface.co/sophosympatheia/Aurora-Nights-70B-v1.0) |
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- [Xwin-LM-70B-V0.1](https://huggingface.co/Xwin-LM/Xwin-LM-70B-V0.1) |
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<br/> |
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In our testing, this model seems like a storyteller, as might be expected, but the changes from this merge are extremely soft. We were impressed that, unlike most models, at the end of a story it did not often use cliches such as "In the end", "And so", "beacon of hope", etc. |
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<br/> |
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<br/> |
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# Quants |
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Most of the popular quant formats are available now, thanks to community efforts. |
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| Type | Misc | Author | |
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| ----- | ----- | ----- | |
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| [GGUF](https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001-GGUF/tree/main) | | alchemonaut | |
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| [GGUF](https://huggingface.co/Nexesenex/alchemonaut_QuartetAnemoi-70B-iMat.GGUF) | iMat | Nexesenex | |
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| [GGUF](https://huggingface.co/mradermacher/QuartetAnemoi-70B-t0.0001-i1-GGUF) | iMat | mradermacher | |
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| [GGUF](https://huggingface.co/mradermacher/QuartetAnemoi-70B-t0.0001-GGUF) | Full Set | mradermacher | |
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| [exl2](https://huggingface.co/llmixer/QuartetAnemoi-70B-t0.0001-2.5bpw-h6-exl2) | 2.5bpw | llmixer | |
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| [exl2](https://huggingface.co/llmixer/QuartetAnemoi-70B-t0.0001-4bpw-h6-exl2) | 4.0bpw| llmixer | |
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| [exl2](https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001-b4.6-h8-exl2) | 4.6bpw| alchemonaut | |
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| [exl2](https://huggingface.co/llmixer/QuartetAnemoi-70B-t0.0001-6.0bpw-h6-exl2) | 6.0bpw | llmixer | |
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| [AWQ](https://huggingface.co/tachyphylaxis/QuartetAnemoi-70B-t0.0001-AWQ) | | tachyphylaxis | |
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<br/> |
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<br/> |
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# NearSwap Algorithm |
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NearSwap retains most of the weights of the base model (Miqu), but when a weight is similar between the two, it is interpolated to the secondary model value. A parameter *t* specifies the sameness threshold. When the distance between two values is below *t*, the weight from the secondary model is used. |
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This version of the model uses *t* = 0.0001. At this *t*, about 0.8% of weights are fully switched to the secondary model during each pass. Model quality rapidly degrades above *t* = 0.0025: |
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- *t* = 0.0001 (~0.8% full swap): This model |
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- *t* = 0.0003 (~2% full swap) |
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- *t* = 0.001 (~10% full swap): [BoreanGale-70B](https://huggingface.co/alchemonaut/BoreanGale-70B) |
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- *t* = 0.0025 (~18% full swap): Generates one paragraph okay, but then reverts to garbage |
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- *t* = 0.005 (~35% full swap): Garbage; semi-related word lists |
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- *t* = 0.01 (~55% full swap): Garbage; pseudorandom tokens output |
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For QuartetAnemoi-70B-t0.0001, the three secondary models were each merged sequentially with *t* = 0.0001. |
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NearSwap implementation: |
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``` |
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t: Union[float, np.ndarray], |
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v0: Union[np.ndarray, torch.Tensor], |
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v1: Union[np.ndarray, torch.Tensor], |
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... |
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lweight = numpy.absolute(v0-v1) |
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lweight = t / lweight |
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lweight = numpy.nan_to_num(lweight, nan=1.0, posinf=1.0, neginf=1.0) |
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numpy.clip(lweight, a_min=0.0, a_max=1.0, out=lweight) |
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res = lerp(lweight,v0,v1) |
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``` |
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<br/> |
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<br/> |
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# License and Use |
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Since the ultimate origin of Miqu is at this time unknown beyond speculation, this model is for noncommercial research use only. |
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<br/> |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_alchemonaut__QuartetAnemoi-70B-t0.0001) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |76.86| |
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|AI2 Reasoning Challenge (25-Shot)|73.38| |
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|HellaSwag (10-Shot) |88.9| |
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|MMLU (5-Shot) |75.42| |
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|TruthfulQA (0-shot) |69.53| |
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|Winogrande (5-shot) |85.32| |
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|GSM8k (5-shot) |68.61| |
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