4-bit Autotrain compatible Awq Base model:jondurbin/bagel-dpo... Base model:quantized:jondurbin... Conversational Dataset: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... Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/bagel-dpo-34b-v0.2-AWQ
Bagel DPO 34B V0.2 AWQ 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 AWQ Parameters and Internals
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| Additional Notes |
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| LLM Name | Bagel DPO 34B V0.2 AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/bagel-dpo-34b-v0.2-AWQ |
| Model Name | Bagel DPO 34B v0.2 |
| Model Creator | Jon Durbin |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 19.3 GB |
| Updated | 2024-12-21 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
Best Alternatives to Bagel DPO 34B V0.2 AWQ
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| Opus V1 34B AWQ | 195K / 19.2 GB | 35 | 1 |
| Yi 34B 200K RPMerge AWQ | 195K / 19.2 GB | 20 | 1 |
| Smaug 34B V0.1 AWQ | 195K / 19.2 GB | 10 | 2 |
| Tess 34B V1.5B AWQ | 195K / 19.3 GB | 24 | 3 |
| ...34B 200K DARE Megamerge V8 AWQ | 195K / 19.3 GB | 42 | 2 |
| ...ey 34B 200K Chat Evaluator AWQ | 195K / 19.3 GB | 22 | 5 |
| Deepmoney 34B 200K Base AWQ | 195K / 19.3 GB | 28 | 1 |
| Nous Capybara Limarpv3 34B AWQ | 195K / 19.3 GB | 23 | 1 |
| Nontoxic Bagel 34B V0.2 AWQ | 195K / 19.3 GB | 18 | 2 |
| Bagel 34B V0.2 AWQ | 195K / 19.3 GB | 17 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/bagel-dpo-34b-v0.2-AWQ .
Rank the Bagel DPO 34B V0.2 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217