Autotrain compatible Conversational Dataset:allenai/ai2 arc Dataset:allenai/ultrafeedback ... Dataset:boolq Dataset:cais/mmlu Dataset:cakiki/rosetta-code Dataset:codeparrot/apps Dataset:datasets/winogrande Dataset:drop Dataset:facebook/belebele Dataset:intel/orca dpo pairs Dataset:jondurbin/cinematika-v... Dataset:jondurbin/truthy-dpo-v... Dataset:julielab/emobank Dataset:kingbri/pippa-sharegpt Dataset:ldjnr/capybara Dataset:lmsys/lmsys-chat-1m Dataset:migtissera/synthia-v1.... Dataset:muennighoff/natural-in... Dataset:nvidia/helpsteer Dataset:open-orca/slimorca Dataset:openbookqa Dataset:piqa Dataset:spider Dataset:squad v2 Dataset:squish42/bluemoon-fand... Dataset:tiger-lab/mathinstruct Dataset:unalignment/spicy-3.1 Dataset:unalignment/toxic-dpo-... Dataset:vezora/tested-22k-pyth... Endpoints compatible Exl2 Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/waldie/bagel-dpo-34b-v0.2-4.65bpw-h6-exl2
Bagel DPO 34B V0.2 4.65bpw H6 EXL2 Benchmarks
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 DPO 34B V0.2 4.65bpw H6 EXL2 Parameters and Internals
| LLM Name | Bagel DPO 34B V0.2 4.65bpw H6 EXL2 |
| Repository 🤗 | https://huggingface.co/waldie/bagel-dpo-34b-v0.2-4.65bpw-h6-exl2 |
| Model Size | 34b |
| Required VRAM | 20.8 GB |
| Updated | 2025-09-23 |
| Maintainer | waldie |
| Model Type | llama |
| Model Files | |
| Quantization Type | exl2 |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Bagel DPO 34B V0.2 4.65bpw H6 EXL2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...34B 200K Aezakmi Raw 1902 EXL2 | 195K / 20.7 GB | 6 | 1 |
| Yi 34B 200K MAR2024 EXL2 4bpw | 195K / 18 GB | 4 | 1 |
| Yi 34B 200K RPMerge | 195K / 68.9 GB | 10 | 60 |
| ...B 200K RPMerge 4.65bpw H6 EXL2 | 195K / 10.5 GB | 9 | 2 |
| ...mi Raw Toxic 2702 4.65bpw EXL2 | 195K / 20.8 GB | 6 | 2 |
| Opus V1 34B 5.0bpw H6 EXL2 | 195K / 22.3 GB | 8 | 2 |
| Opus V1 34B 8.0bpw H8 EXL2 | 195K / 34.8 GB | 8 | 1 |
| Opus V1 34B 4.0bpw H6 EXL2 | 195K / 18 GB | 7 | 1 |
| 34B Beta 4.0bpw H6 EXL2 | 195K / 18.1 GB | 8 | 1 |
| 34B Beta 5.0bpw H6 EXL2 | 195K / 22.3 GB | 6 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than waldie/bagel-dpo-34b-v0.2-4.65bpw-h6-exl2 .
Rank the Bagel DPO 34B V0.2 4.65bpw H6 EXL2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124