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
Model Card on HF 🤗: https://huggingface.co/DevQuasar/analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit
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").
What is the LLM Explorer Rank (Score)
Analytical Reasoning R16a32 Unsloth Llama 3.2 3B Instruct Bnb 4bit Parameters and Internals
| LLM Name | Analytical Reasoning R16a32 Unsloth Llama 3.2 3B Instruct Bnb 4bit |
| Repository 🤗 | https://huggingface.co/DevQuasar/analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 6.5 GB |
| Updated | 2025-03-12 |
| Maintainer | DevQuasar |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| License | llama3.2 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.46.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to Analytical Reasoning R16a32 Unsloth Llama 3.2 3B Instruct Bnb 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...2 3B Instruct Unsloth Bnb 4bit | 128K / 2.4 GB | 265318 | 6 |
| Llama32 3B En Emo 2000 Stp | 128K / 2.2 GB | 42 | 0 |
| Llama32 3B En Emo 300 Stp | 128K / 2.2 GB | 30 | 0 |
| ReasoningCore 3B 0 | 128K / 6.5 GB | 215 | 2 |
| Llama32 3B En Emo 1000 Stp | 128K / 2.2 GB | 13 | 0 |
| ...ngCore 3B Instruct R01 Reflect | 128K / 6.5 GB | 28 | 1 |
| Llama32 3B En Emo 5000 Stp | 128K / 2.2 GB | 13 | 0 |
| Security Llama3.2 3B | 128K / 6.5 GB | 58 | 0 |
| Llama 3.2 3B Unsloth Bnb 4bit | 128K / 2.4 GB | 26634 | 2 |
| Llama32 3B En Emo V3 | 128K / 2.2 GB | 67 | 0 |
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 .
Rank the Analytical Reasoning R16a32 Unsloth Llama 3.2 3B Instruct Bnb 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227