Autotrain compatible Base model:alpindale/mistral-7... Base model:finetune:alpindale/... 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: 63.65-33.9%
HellaSwag: 83.62-12.3%
MMLU: 64.93-24.9%
TruthfulQA: 55.76-5.5%
WinoGrande: 80.98-7.5%
GSM8K: 50.34-45.3%
nn.n% — How the model compares to the GPT-4.
Bagel 7B V0.5 Parameters and Internals
| LLM Name | Bagel 7B V0.5 |
| Repository | Open on 🤗 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-07-26 |
| 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 |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| ...1 Summarize 64K LoRANET Merged | 0.2 | 128K / 14.4 GB | 236 | 0 |
| ... Summarize 64K QLoRANET Merged | 0.2 | 128K / 4.1 GB | 9 | 0 |
| Mistral 7B Instruct V0.1 | 0.5 | 32K / 14.4 GB | 425609 | 1476 |
| ...ty Instruct 3M 0613 Mistral 7B | 0.4 | 32K / 14.4 GB | 469 | 9 |
| Dolphin 2.8 Mistral 7B V02 | 0.3 | 32K / 14.4 GB | 763 | 202 |
| Vikhr 7B Instruct 0.4 | 0.3 | 32K / 15.2 GB | 34316 | 26 |
| ...aul Dolphin Beagle Breadcrumbs | 0.3 | 32K / 14.5 GB | 2083 | 0 |
| Configurable Mistral 7B | 0.3 | 32K / 14.4 GB | 4041 | 1 |
| Oumuamua 7B Instruct V2 | 0.3 | 32K / 14.7 GB | 562 | 22 |
| Breeze 7B Instruct V1.0 | 0.3 | 32K / 15 GB | 8686 | 44 |
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 v2024072501