Autotrain compatible Base model:finetune:mistral-co... Base model:mistral-community/m... Conversational Dataset:ai2 arc Dataset:allenai/ultrafeedback ... Dataset:argilla/distilabel-int... Dataset:b-mc2/sql-create-conte... Dataset:bluemoon-fandom-1-1-rp... Dataset:boolq Dataset:cakiki/rosetta-code Dataset:camel-ai/biology Dataset:camel-ai/chemistry Dataset:camel-ai/math Dataset:camel-ai/physics Dataset:codeparrot/apps Dataset:facebook/belebele Dataset:glaiveai/glaive-functi... Dataset:grimulkan/limarp-augme... Dataset:jondurbin/airoboros-3.... Dataset:jondurbin/cinematika-v... Dataset:jondurbin/contextual-d... Dataset:jondurbin/gutenberg-dp... Dataset:jondurbin/py-dpo-v0.1 Dataset:jondurbin/truthy-dpo-v... Dataset:kingbri/pippa-sharegpt Dataset:ldjnr/capybara Dataset:lmsys/lmsys-chat-1m Dataset:mattpscott/airoboros-s... Dataset:migtissera/synthia-v1.... Dataset:muennighoff/natural-in... Dataset:open-orca/slimorca Dataset:openbookqa Dataset:parisneo/lollms aware ... Dataset:piqa Dataset:ropes Dataset:squad v2 Dataset:tiger-lab/mathinstruct Dataset:unalignment/toxic-dpo-... Dataset:vezora/tested-22k-pyth... Dataset:whiterabbitneo/wrn-cha... Dataset:whiterabbitneo/wrn-cha... Dataset:winogrande Dataset:wizardlm/wizardlm evol... Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow
Bagel 7B V0.5 Benchmarks
ARC: 63.65 vs 96.7 (so35)-34.2%
HellaSwag: 83.62 vs 95.3 (gpt4)-12.3%
MMLU: 64.93 vs 88.3 (so35)-26.5%
TruthfulQA: 55.76 vs 59 (gpt4)-5.5%
WinoGrande: 80.98 vs 87.5 (gpt4)-7.5%
GSM8K: 50.34 vs 96.4 (so35)-47.8%
LLME Score: 0.21809
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 7B V0.5 Parameters and Internals
| LLM Name | Bagel 7B V0.5 |
| Repository 🤗 | https://huggingface.co/jondurbin/bagel-7b-v0.5 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-10-18 |
| Maintainer | jondurbin |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Bagel 7B V0.5
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 2069 | 6 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 12 | 0 |
| ... Summarize 64K QLoRANET Merged | 128K / 4.1 GB | 21 | 0 |
| ...1 Summarize 64K LoRANET Merged | 128K / 14.4 GB | 5 | 0 |
| Mistral 7B Instruct V0.2 | 32K / 14.4 GB | 820568 | 2545 |
| Mistral 7B Instruct V0.1 | 32K / 14.4 GB | 201701 | 1515 |
| ...ity Instruct 7M Gen Mistral 7B | 32K / 14.4 GB | 3805 | 3 |
| ...ty Instruct 3M 0625 Mistral 7B | 32K / 14.4 GB | 3892 | 3 |
| ...ty Instruct 3M 0613 Mistral 7B | 32K / 14.4 GB | 5606 | 11 |
| Mistral 7B Instruct RRHF | 32K / 14.4 GB | 1584 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than jondurbin/bagel-7b-v0.5 .
Rank the Bagel 7B V0.5 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803