Komodo Llama 3.2 3B V2 Fp16 is an open-source language model by suayptalha. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.24.
4bit Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Dataset:jeggers/competition ma... De Deploy:azure En Endpoints compatible Es Fp16 Fr Hi Instruct It Llama Model-index Pt Pytorch Quantized Region:us Safetensors Sft Sharded Tensorflow Th Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/suayptalha/Komodo-Llama-3.2-3B-v2-fp16
Komodo Llama 3.2 3B V2 Fp16 Benchmarks
MMLU Pro: 20.58
GPQA: 3.69
MUSR: 3.37
BBH: 20.2
IFEval: 63.41 vs 88 (so35)-27.9%
MATH Lvl 5: 10.65
LLME Score: 0.2353
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)
Komodo Llama 3.2 3B V2 Fp16 Parameters and Internals
| LLM Name | Komodo Llama 3.2 3B V2 Fp16 |
| Repository 🤗 | https://huggingface.co/suayptalha/Komodo-Llama-3.2-3B-v2-fp16 |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 6.5 GB |
| Updated | 2026-03-13 |
| Maintainer | suayptalha |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en th pt es de fr it hi |
| Quantization Type | fp16|4bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| 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 Komodo Llama 3.2 3B V2 Fp16
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...ama Llama 3.2 3B Instruct FP16 | 128K / 6.5 GB | 3248253 | 7 |
| ...2 3B Instruct Unsloth Bnb 4bit | 128K / 2.4 GB | 115584 | 10 |
| Llama32 3B En Emo 2000 Stp | 128K / 2.2 GB | 6 | 0 |
| Llama32 3B En Emo 300 Stp | 128K / 2.2 GB | 10 | 0 |
| Llama32 3B En Emo 1000 Stp | 128K / 2.2 GB | 6 | 0 |
| Security Llama3.2 3B | 128K / 6.5 GB | 406 | 2 |
| Llama32 3B En Emo 5000 Stp | 128K / 2.2 GB | 5 | 0 |
| ...ngCore 3B Instruct R01 Reflect | 128K / 6.5 GB | 0 | 1 |
| ReasoningCore 3B 0 | 128K / 6.5 GB | 9 | 2 |
| Gladiator Mini Exp 1211 3B | 128K / 6.5 GB | 9 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than suayptalha/Komodo-Llama-3.2-3B-v2-fp16 .
Rank the Komodo Llama 3.2 3B V2 Fp16 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20241124