Merged Model Autotrain compatible Endpoints compatible Mistral Mlabonne/neuralbeagle14-7b Region:us Safetensors Sharded Tensorflow Udkai/turdus
TurdusBeagle 7B Benchmarks
ARC: 73.63 vs 96.7 (so35)-23.9%
HellaSwag: 88.89 vs 95.3 (gpt4)-6.7%
MMLU: 64.7 vs 88.3 (so35)-26.7%
TruthfulQA: 69.71 vs 59 (gpt4)18.2%
WinoGrande: 83.9 vs 87.5 (gpt4)-4.1%
GSM8K: 70.05 vs 96.4 (so35)-27.3%
LLME Score: 0.21752
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)
TurdusBeagle 7B Parameters and Internals
| LLM Name | TurdusBeagle 7B |
| Repository 🤗 | https://huggingface.co/leveldevai/TurdusBeagle-7B |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-09-19 |
| Maintainer | leveldevai |
| 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 TurdusBeagle 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 189 | 5 |
| MegaBeam Mistral 7B 512K | 512K / 14.4 GB | 209 | 40 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 21 | 0 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 224 | 15 |
| Hebrew Mistral 7B 200K | 256K / 30 GB | 2731 | 15 |
| Astral 256K 7B V2 | 250K / 14.4 GB | 6 | 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 | 153 | 15 |
Note: green Score (e.g. "73.2") means that the model is better than leveldevai/TurdusBeagle-7B .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803