Merged Model Autotrain compatible Base model:teknium/openhermes-... Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Teknium/openhermes-2.5-mistral... Tensorflow
StrangeMerges 18 7B Dare Ties Benchmarks
ARC: 64.08 vs 96.7 (so35)-33.7%
HellaSwag: 84.37 vs 95.3 (gpt4)-11.5%
MMLU: 63.65 vs 88.3 (so35)-27.9%
TruthfulQA: 52.17 vs 59 (gpt4)-11.6%
WinoGrande: 77.27 vs 87.5 (gpt4)-11.7%
GSM8K: 60.8 vs 96.4 (so35)-36.9%
LLME Score: 0.20721
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)
StrangeMerges 18 7B Dare Ties Parameters and Internals
| LLM Name | StrangeMerges 18 7B Dare Ties |
| Repository 🤗 | https://huggingface.co/Gille/StrangeMerges_18-7B-dare_ties |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2024-09-08 |
| Maintainer | Gille |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to StrangeMerges 18 7B Dare Ties
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| MegaBeam Mistral 7B 512K | 512K / 14.4 GB | 56888 | 38 |
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| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 237 | 15 |
| Hebrew Mistral 7B 200K | 256K / 30 GB | 2704 | 15 |
| Astral 256K 7B V2 | 250K / 14.4 GB | 8 | 0 |
| Astral 256K 7B | 250K / 14.4 GB | 5 | 0 |
| Test001 | 128K / 14.5 GB | 23 | 0 |
| Test002 | 128K / 29 GB | 16 | 0 |
| Buddhi 128K Chat 7B | 128K / 14.4 GB | 167 | 15 |
| LuminRP 7B 128K V0.2 | 128K / 14.4 GB | 14 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Gille/StrangeMerges_18-7B-dare_ties .
Rank the StrangeMerges 18 7B Dare Ties Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803