4-bit Autotrain compatible Awq Base model:jondurbin/bagel-7b-... Base model:quantized:jondurbin... Conversational Dataset:ai2 arc Dataset:boolq Dataset:cais/mmlu Dataset:cakiki/rosetta-code Dataset:codeparrot/apps Dataset:datasets/winogrande Dataset:drop Dataset:facebook/belebele Dataset:jondurbin/cinematika-v... Dataset:lmsys/lmsys-chat-1m Dataset:migtissera/synthia-v1.... Dataset:muennighoff/natural-in... Dataset:open-orca/slimorca Dataset:openbookqa Dataset:piqa Dataset:spider Dataset:squad v2 Dataset:tiger-lab/mathinstruct Dataset:unalignment/spicy-3.1 Dataset:vezora/tested-22k-pyth... Mistral Quantized Region:us Safetensors
Bagel 7B V0.1 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 7B V0.1 AWQ Parameters and Internals
| LLM Name | Bagel 7B V0.1 AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/bagel-7B-v0.1-AWQ |
| Model Name | Bagel 7B v0.1 |
| Model Creator | Jon Durbin |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.2 GB |
| Updated | 2024-09-07 |
| Maintainer | TheBloke |
| Model Type | mistral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Bagel 7B V0.1 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 6 | 0 |
| Mistral 7B Instruct V0.3 AWQ | 32K / 4.2 GB | 2928 | 2 |
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 48232 | 41 |
| ...ybaraHermes 2.5 Mistral 7B AWQ | 32K / 4.2 GB | 7969 | 17 |
| Breeze 7B Instruct V1.0 AWQ | 32K / 4.6 GB | 146 | 0 |
| Mahou 1.3a Mistral 7B AWQ | 32K / 4.2 GB | 45 | 1 |
| Ghost 7B Alpha AWQ | 32K / 4.2 GB | 8 | 0 |
| ...reeze 7B 32K Instruct V1.0 AWQ | 32K / 4.7 GB | 9 | 0 |
| Mahou 1.3 Mistral 7B AWQ | 32K / 4.2 GB | 5 | 0 |
| Tess 7B V2.0 AWQ | 32K / 4.2 GB | 6 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/bagel-7B-v0.1-AWQ .
Rank the Bagel 7B V0.1 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803