Autotrain compatible Conversational Endpoints compatible Llama Merge Model-index Region:us Safetensors Sharded Tensorflow
2xbagel DPO 34B V0.2 Benchmarks
ARC: 65.27-32.2%
HellaSwag: 79.35-16.7%
MMLU: 73.64-14.9%
TruthfulQA: 67.1513.8%
WinoGrande: 76.4-12.7%
GSM8K: 2.12-97.7%
nn.n% — How the model compares to the GPT-4.
2xbagel DPO 34B V0.2 Parameters and Internals
| LLM Name | 2xbagel DPO 34B V0.2 |
| Repository | Open on 🤗 |
| Model Size | 34b |
| Required VRAM | 113.2 GB |
| Updated | 2024-07-27 |
| Maintainer | TeeZee |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
Best Alternatives to 2xbagel DPO 34B V0.2
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| Yi 34B 200K | 0.3 | 195K / 68.9 GB | 5247 | 313 |
| Smaug 34B V0.1 | 0.3 | 195K / 69.2 GB | 3185 | 58 |
| Yi 34B 200K AEZAKMI V2 | 0.3 | 195K / 69.2 GB | 948 | 12 |
| Smaug 34B V0.1 ExPO | 0.3 | 195K / 69.2 GB | 2085 | 0 |
| Faro Yi 34B | 0.3 | 195K / 69.2 GB | 2748 | 6 |
| Bagel DPO 34B V0.5 | 0.3 | 195K / 68.7 GB | 1861 | 17 |
| Nous Capybara 34B | 0.3 | 195K / 68.9 GB | 6259 | 242 |
| Yi 34B 200K HESOYAM 0905 | 0.3 | 195K / 69.2 GB | 240 | 0 |
| Bagel DPO 34B V0.2 | 0.3 | 195K / 69.2 GB | 2769 | 97 |
| 34B Beta | 0.3 | 195K / 69.2 GB | 1221 | 59 |
Note: green Score (e.g. "73.2") means that the model is better than TeeZee/2xbagel-dpo-34b-v0.2 .
Rank the 2xbagel DPO 34B V0.2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501