--- language: - en license: llama3 tags: - moe model-index: - name: L3-SnowStorm-v1.15-4x8B-B 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: 60.67 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-B 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: 81.6 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-B 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: 68.12 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-B 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: 51.69 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-B 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: 76.56 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-B 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: 69.45 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-B name: Open LLM Leaderboard --- **Exllamav2** quant (**exl2** / **6.5 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-B-2_2bpw_exl2)**
|
7777 MB
|
6
| |
**[2.5](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-B-2_5bpw_exl2)**
|
8521 MB
|
6
| |
**[3.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-B-3_0bpw_exl2)**
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9944 MB
|
6
| |
**[3.5](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-B-3_5bpw_exl2)**
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11355 MB
|
6
| |
**[3.75](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-B-3_75bpw_exl2)**
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12070 MB
|
6
| |
**[4.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-B-4_0bpw_exl2)**
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12785 MB
|
6
| |
**[4.25](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-B-4_25bpw_exl2)**
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13504 MB
|
6
| |
**[5.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-B-5_0bpw_exl2)**
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15634 MB
|
6
| |
**[6.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-B-6_0bpw_exl2)**
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18589 MB
|
8
| |
**[6.5](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-B-6_5bpw_exl2)**
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19948 MB
|
8
| |
**[8.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-B-8_0bpw_exl2)**
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24070 MB
|
8
|
> [!NOTE] > [GGUF](https://huggingface.co/collections/xxx777xxxASD/snowstorm-v115-4x8b-b-6655885530511ba6250e074f) 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) - [v1.15B](https://huggingface.co/xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-B) <- You're here ### Llama 3 SnowStorm v1.15B 4x8B ``` base_model: Sao10K_L3-8B-Stheno-v3.1 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-1.0-L3-8B](https://huggingface.co/Nitral-AI/Poppy_Porpoise-1.0-L3-8B) - Change base model from [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS) to [Sao10K/L3-8B-Stheno-v3.1](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.1) ## 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-B) | Metric |Value| |---------------------------------|----:| |Avg. |68.01| |AI2 Reasoning Challenge (25-Shot)|60.67| |HellaSwag (10-Shot) |81.60| |MMLU (5-Shot) |68.12| |TruthfulQA (0-shot) |51.69| |Winogrande (5-shot) |76.56| |GSM8k (5-shot) |69.45|