4-bit Autotrain compatible Base model:finetune:one-man-ar... Base model:one-man-army/una-34... 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/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/spicy-3.1 Dataset:unalignment/toxic-dpo-... Dataset:vezora/tested-22k-pyth... Endpoints compatible Finetuned Gptq Has space Llama Model-index Quantized Region:us Safetensors
UNA 34Beagles 32K Bf16 V1 GPTQ Benchmarks
ARC: 26.11 vs 96.7 (so35)-73%
HellaSwag: 26.29 vs 95.3 (gpt4)-72.4%
MMLU: 24.43 vs 88.3 (so35)-72.3%
TruthfulQA: 47.27 vs 59 (gpt4)-19.9%
WinoGrande: 50.83 vs 87.5 (gpt4)-41.9%
LLME Score: 0.23549
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)
UNA 34Beagles 32K Bf16 V1 GPTQ Parameters and Internals
| LLM Name | UNA 34Beagles 32K Bf16 V1 GPTQ |
| Repository 🤗 | https://huggingface.co/MaziyarPanahi/UNA-34Beagles-32K-bf16-v1-GPTQ |
| Model Name | UNA-34Beagles-32K-bf16-v1-GPTQ |
| Model Creator | one-man-army |
| Base Model(s) | |
| Model Size | 5.4b |
| Required VRAM | 19.2 GB |
| Updated | 2024-09-16 |
| Maintainer | MaziyarPanahi |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
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| Pallas 0.4 AWQ | 195K / 19.3 GB | 11 | 1 |
| Tess M V1.3 AWQ | 195K / 19.3 GB | 22 | 1 |
| Tess M V1.2 AWQ | 195K / 19.3 GB | 12 | 1 |
| Tess M V1.1 AWQ | 195K / 19.3 GB | 13 | 1 |
| Tess M Creative V1.0 AWQ | 195K / 19.3 GB | 9 | 1 |
| PiVoT SUS RP AWQ | 8K / 19.3 GB | 8 | 1 |
| Memepp Llama 512v 6l 8h 256e | 2K / 0 GB | 11 | 0 |
Rank the UNA 34Beagles 32K Bf16 V1 GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803