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Model Card on HF 🤗: https://huggingface.co/jondurbin/bagel-34b-v0.4
Bagel 34B V0.4 Benchmarks
ARC: 66.47 vs 96.7 (so35)-31.3%
HellaSwag: 83.31 vs 95.3 (gpt4)-12.6%
MMLU: 74.51 vs 88.3 (so35)-15.6%
TruthfulQA: 62.06 vs 59 (gpt4)5.2%
WinoGrande: 82.24 vs 87.5 (gpt4)-6%
GSM8K: 50.27 vs 96.4 (so35)-47.9%
LLME Score: 0.1748
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)
Bagel 34B V0.4 Parameters and Internals
| Training Details |
|
| LLM Name | Bagel 34B V0.4 |
| Repository 🤗 | https://huggingface.co/jondurbin/bagel-34b-v0.4 |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 68.7 GB |
| Updated | 2025-03-12 |
| Maintainer | jondurbin |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.37.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Bagel 34B V0.4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dolphin 2.2 Yi 34B 200K | 195K / 69.2 GB | 2059 | 36 |
| Bagel DPO 34B V0.5 | 195K / 68.7 GB | 246 | 17 |
| Bagel 34B V0.5 | 195K / 68.7 GB | 38 | 8 |
| ...gpt 32K Codellama 34B Instruct | 32K / 67.5 GB | 154 | 2 |
| CodeLlama 34B Instruct Hf | 16K / 67.5 GB | 15359 | 283 |
| Speechless Codellama 34B V2.0 | 16K / 67.5 GB | 1840 | 17 |
| CodeLlama 34B Instruct Hf | 16K / 67.5 GB | 771 | 16 |
| Speechless Codellama 34B V1.9 | 16K / 67.5 GB | 1837 | 0 |
| Dolphin 2 2 Yi 34B | 16K / 68.9 GB | 84 | 92 |
| XAgentLLaMa 34B Preview | 16K / 157.3 GB | 17 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than jondurbin/bagel-34b-v0.4 .
Rank the Bagel 34B V0.4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227