Bagel DPO 8x7b V0.2 AWQ is an open-source language model by TheBloke. Features: 6.5b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.12.
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/airoboros-3.... 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/toxic-dpo-... Dataset:vezora/tested-22k-pyth... Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/bagel-dpo-8x7b-v0.2-AWQ
Bagel DPO 8x7b 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 8x7b V0.2 AWQ Parameters and Internals
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| LLM Name | Bagel DPO 8x7b V0.2 AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/bagel-dpo-8x7b-v0.2-AWQ |
| Model Name | Bagel DPO 8X7B V0.2 |
| Model Creator | Jon Durbin |
| Base Model(s) | |
| Model Size | 6.5b |
| Required VRAM | 24.7 GB |
| Updated | 2025-10-28 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Bagel DPO 8x7b V0.2 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 11814 | 58 |
| Dolphin 2.7 Mixtral 8x7b AWQ | 32K / 24.7 GB | 7363 | 23 |
| ...kaLM Mixtral 8x7B V0.2 DPO AWQ | 32K / 24.7 GB | 6 | 0 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 6 | 0 |
| Karakuri Lm 8x7b Chat V0.1 AWQ | 32K / 24.7 GB | 5 | 0 |
| Taiwan LLM 8x7B DPO AWQ | 32K / 24.7 GB | 7 | 1 |
| Functionary Medium V2.4 AWQ | 32K / 24.7 GB | 5 | 3 |
| ...xtral Instruct AWQ Clone Dec23 | 32K / 24.7 GB | 6 | 0 |
| Open Gpt4 8x7B V0.2 AWQ | 32K / 24.7 GB | 2 | 2 |
| ...0.1 LimaRP ZLoss DARE TIES AWQ | 32K / 24.7 GB | 7 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/bagel-dpo-8x7b-v0.2-AWQ .
Rank the Bagel DPO 8x7b V0.2 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a