Autotrain compatible Dataset:jondurbin/truthy-dpo-v... Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Tensorflow
WestLake 7B V2 Laser Truthy DPO Benchmarks
ARC: 73.89 vs 96.7 (so35)-23.6%
HellaSwag: 88.85 vs 95.3 (gpt4)-6.8%
MMLU: 64.84 vs 88.3 (so35)-26.6%
TruthfulQA: 69.81 vs 59 (gpt4)18.3%
WinoGrande: 86.66 vs 87.5 (gpt4)-1%
GSM8K: 68.16 vs 96.4 (so35)-29.3%
LLME Score: 0.21517
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
WestLake 7B V2 Laser Truthy DPO Parameters and Internals
| LLM Name | WestLake 7B V2 Laser Truthy DPO |
| Repository 🤗 | https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-09-16 |
| Maintainer | macadeliccc |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to WestLake 7B V2 Laser Truthy DPO
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| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 179 | 5 |
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| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 218 | 15 |
| Hebrew Mistral 7B 200K | 256K / 30 GB | 2707 | 15 |
| Astral 256K 7B V2 | 250K / 14.4 GB | 5 | 0 |
| Astral 256K 7B | 250K / 14.4 GB | 5 | 0 |
| Test001 | 128K / 14.5 GB | 5 | 0 |
| Test002 | 128K / 29 GB | 16 | 0 |
| Buddhi 128K Chat 7B | 128K / 14.4 GB | 150 | 15 |
Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/WestLake-7B-v2-laser-truthy-dpo .
Rank the WestLake 7B V2 Laser Truthy DPO Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803