Analytical Reasoning R16a32 Unsloth Llama 3.2 3B Instruct Bnb 4bit by DevQuasar

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  4bit   Autotrain compatible Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.2-3...   Conversational Dataset:microsoft/orca-agentin...   Endpoints compatible   Instruct   Llama   Model-index   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth

Analytical Reasoning R16a32 Unsloth Llama 3.2 3B Instruct Bnb 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Analytical Reasoning R16a32 Unsloth Llama 3.2 3B Instruct Bnb 4bit (DevQuasar/analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit)

Analytical Reasoning R16a32 Unsloth Llama 3.2 3B Instruct Bnb 4bit Parameters and Internals

LLM NameAnalytical Reasoning R16a32 Unsloth Llama 3.2 3B Instruct Bnb 4bit
Repository ๐Ÿค—https://huggingface.co/DevQuasar/analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit 
Base Model(s)  unsloth/Llama-3.2-3B-Instruct-bnb-4bit   unsloth/Llama-3.2-3B-Instruct-bnb-4bit
Model Size3b
Required VRAM6.5 GB
Updated2025-01-19
MaintainerDevQuasar
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than DevQuasar/analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227