Arxiv:2306.01708 Arxiv:2311.03099 Base model:brucethemoose/yi-34... En Gguf License:other Merge Mergekit Quantized Region:us Yi
Yi 34B 200K DARE Megamerge V8 GGUF Benchmarks
HF Avg Score: 63.6 vs 86.1 (GPT-4) -26.1%
ARC: 59.6-38.1%
HellaSwag: 72.3-24.1%
MMLU: 67.8-21.6%
TruthfulQA: 54.1-8.3%
WinoGrande: 81.1-7.3%
GSM8K: 47.1-48.8%
nn.n% — How the model compares to the GPT-4.
Rank the Yi 34B 200K DARE Megamerge V8 GGUF Capabilities
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Best Alternatives to Yi 34B 200K DARE Megamerge V8 GGUF
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| SUS Chat 34B GGUF | 74.6 | 0K / 14.6 GB | 333 | 16 |
| Yi 1.5 34B Chat GGUF | 65.6 | 0K / 12.8 GB | 200 | 6 |
| MetaMath Bagel DPO 34B GGUF | 65.6 | 0K / 12.8 GB | 175 | 3 |
| Nontoxic Bagel 34B V0.2 GGUF | 65.5 | 0K / 14.6 GB | 231 | 3 |
| Bagel DPO 34B V0.2 GGUF | 65.3 | 0K / 14.6 GB | 294 | 10 |
| Una Xaberius 34B V1beta GGUF | 65.1 | 0K / 14.6 GB | 291 | 7 |
| ...rmes 2 SUS Chat 34B Slerp GGUF | 65 | 0K / 14.6 GB | 855 | 5 |
| Nous Hermes 2 Yi 34B GGUF | 64.7 | 0K / 14.6 GB | 1855 | 40 |
| 34B Beta GGUF | 64.1 | 0K / 12.8 GB | 274 | 3 |
| Yi 34B V3 GGUF | 63.4 | 0K / 14.6 GB | 565 | 7 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yi-34B-200K-DARE-megamerge-v8-GGUF .
Yi 34B 200K DARE Megamerge V8 GGUF Parameters and Internals
| LLM Name | Yi 34B 200K DARE Megamerge V8 GGUF |
| Repository | Open on 🤗 |
| Model Name | Yi 34B 200K DARE MegaMerge V8 |
| Model Creator | brucethemoose |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 9.3 GB |
| Updated | 2024-07-01 |
| Maintainer | TheBloke |
| Model Type | yi |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | other |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801