--- language: - en license: llama3 tags: - moe model-index: - name: L3-SnowStorm-v1.15-4x8B-A 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: 62.2 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A 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: 81.09 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A 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: 67.89 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A 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: 52.11 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A 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: 76.32 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A 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: 66.49 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A name: Open LLM Leaderboard --- **Exllamav2** quant (**exl2** / **6.0 bpw**) made with ExLlamaV2 v0.1.1 Other EXL2 quants: | **Quant** | **Model Size** | **lm_head** | | ----- | ---------- | ------- | |
**[2.2](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-2_2bpw_exl2)**
|
7777 MB
|
6
| |
**[2.5](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-2_5bpw_exl2)**
|
8520 MB
|
6
| |
**[3.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-3_0bpw_exl2)**
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9941 MB
|
6
| |
**[3.5](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-3_5bpw_exl2)**
|
11366 MB
|
6
| |
**[3.75](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-3_75bpw_exl2)**
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12066 MB
|
6
| |
**[4.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-4_0bpw_exl2)**
|
12789 MB
|
6
| |
**[4.25](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-4_25bpw_exl2)**
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13504 MB
|
6
| |
**[5.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-5_0bpw_exl2)**
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15640 MB
|
6
| |
**[6.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-6_0bpw_exl2)**
|
18586 MB
|
8
| |
**[6.5](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-6_5bpw_exl2)**
|
20007 MB
|
8
| |
**[8.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-8_0bpw_exl2)**
|
24101 MB
|
8
|
> [!NOTE] > [GGUF](https://huggingface.co/collections/xxx777xxxASD/snowstorm-v115-4x8b-a-665587d3fda461267cfa9d69) Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than Mixtral 8x7B and it's finetunes in RP/ERP tasks. There's: - [v1.15A](https://huggingface.co/xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A) <- You're here - [v1.15B](https://huggingface.co/xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-B) ### Llama 3 SnowStorm v1.15A 4x8B ``` base_model: NeverSleep_Llama-3-Lumimaid-8B-v0.1-OAS gate_mode: random dtype: bfloat16 experts_per_token: 2 experts: - source_model: Nitral-AI_Poppy_Porpoise-1.0-L3-8B - source_model: NeverSleep_Llama-3-Lumimaid-8B-v0.1-OAS - source_model: openlynn_Llama-3-Soliloquy-8B-v2 - source_model: Sao10K_L3-8B-Stheno-v3.1 ``` ## Models used - [Nitral-AI/Poppy_Porpoise-1.0-L3-8B](https://huggingface.co/Nitral-AI/Poppy_Porpoise-1.0-L3-8B) - [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS) - [openlynn/Llama-3-Soliloquy-8B-v2](https://huggingface.co/openlynn/Llama-3-Soliloquy-8B-v2) - [Sao10K/L3-8B-Stheno-v3.1](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.1) ## Difference(from SnowStorm v1.0) - Update from [ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B) to [Nitral-AI/Poppy_Porpoise-0.85-L3-8B](https://huggingface.co/Nitral-AI/Poppy_Porpoise-0.85-L3-8B) ## Vision [llama3_mmproj](https://huggingface.co/ChaoticNeutrals/LLaVA-Llama-3-8B-mmproj-Updated) ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f5e51289c121cb864ba464/yv4C6NalqORLjvY3KKZk8.png) ## Prompt format: Llama 3 # [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_xxx777xxxASD__L3-SnowStorm-v1.15-4x8B-A) | Metric |Value| |---------------------------------|----:| |Avg. |67.68| |AI2 Reasoning Challenge (25-Shot)|62.20| |HellaSwag (10-Shot) |81.09| |MMLU (5-Shot) |67.89| |TruthfulQA (0-shot) |52.11| |Winogrande (5-shot) |76.32| |GSM8k (5-shot) |66.49|