Tess 34B V1.5B GGUF Benchmarks
HF Avg Score: 61.7 vs 86.1 (GPT-4) -28.3%
ARC: 56.2-41.6%
HellaSwag: 70.9-25.6%
MMLU: 67.1-22.4%
TruthfulQA: 51-13.6%
WinoGrande: 79.7-8.9%
GSM8K: 45.3-50.8%
nn.n% — How the model compares to the GPT-4.
Rank the Tess 34B V1.5B GGUF Capabilities
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Best Alternatives to Tess 34B V1.5B GGUF
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| SUS Chat 34B GGUF | 74.6 | 0K / 14.6 GB | 432 | 16 |
| Yi 1.5 34B Chat GGUF | 65.6 | 0K / 12.8 GB | 241 | 6 |
| MetaMath Bagel DPO 34B GGUF | 65.6 | 0K / 12.8 GB | 163 | 3 |
| Nontoxic Bagel 34B V0.2 GGUF | 65.5 | 0K / 14.6 GB | 233 | 3 |
| Bagel DPO 34B V0.2 GGUF | 65.3 | 0K / 14.6 GB | 328 | 10 |
| Una Xaberius 34B V1beta GGUF | 65.1 | 0K / 14.6 GB | 415 | 7 |
| ...rmes 2 SUS Chat 34B Slerp GGUF | 65 | 0K / 14.6 GB | 888 | 5 |
| Nous Hermes 2 Yi 34B GGUF | 64.7 | 0K / 14.6 GB | 1929 | 40 |
| 34B Beta GGUF | 64.1 | 0K / 12.8 GB | 296 | 3 |
| ...4B 200K DARE Megamerge V8 GGUF | 63.6 | 0K / 9.3 GB | 2365 | 11 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Tess-34B-v1.5b-GGUF .
Tess 34B V1.5B GGUF Parameters and Internals
| LLM Name | Tess 34B V1.5B GGUF |
| Repository | Open on 🤗 |
| Model Name | Tess 34B V1.5B |
| Model Creator | Migel Tissera |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 12.8 GB |
| Updated | 2024-06-24 |
| Maintainer | TheBloke |
| Model Type | yi |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | other |
What open-source LLMs or SLMs are you in search of? 34902 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801