4-bit Autotrain compatible Awq Base model:jondurbin/bagel-8b-... Base model:quantized:jondurbin... 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 - llama-3... Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow
Bagel 8B V1.0 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 8B V1.0 AWQ Parameters and Internals
| LLM Name | Bagel 8B V1.0 AWQ |
| Repository 🤗 | https://huggingface.co/solidrust/bagel-8b-v1.0-AWQ |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 5.8 GB |
| Updated | 2024-10-18 |
| Maintainer | solidrust |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to Bagel 8B V1.0 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...8B Instruct Gradient 1048K AWQ | 1024K / 5.8 GB | 13 | 0 |
| ...radient 1048K AWQ 4bit Smashed | 1024K / 5.8 GB | 15 | 1 |
| ...Instruct 262K AWQ 4bit Smashed | 256K / 5.8 GB | 3 | 4 |
| ...ta Llama 3 8B Instruct 64K AWQ | 64K / 5.8 GB | 5 | 0 |
| ... Instruct 8B 32K V0.1 4bit AWQ | 64K / 5.8 GB | 9 | 0 |
| Llama 3 8B Instruct AWQ | 8K / 5.8 GB | 348574 | 20 |
| ...3 SauerkrautLM 8B Instruct AWQ | 8K / 5.7 GB | 12149 | 1 |
| Meta Llama 3 8B Instruct AWQ | 8K / 5.8 GB | 549 | 3 |
| ...eta Llama 3 8B Instruct Hf AWQ | 8K / 5.8 GB | 387 | 8 |
| Meta Llama 3 8B Instruct AWQ | 8K / 5.8 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than solidrust/bagel-8b-v1.0-AWQ .
Rank the Bagel 8B V1.0 AWQ Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 36966 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803