Merged Model 4bit Autotrain compatible Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.2-3... Conversational En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/taareshg/Llama-3.2-3B-Instruct-En-Hi-merge-200k
Llama 3.2 3B Instruct En Hi Merge 200K 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)
Llama 3.2 3B Instruct En Hi Merge 200K Parameters and Internals
| LLM Name | Llama 3.2 3B Instruct En Hi Merge 200K |
| Repository 🤗 | https://huggingface.co/taareshg/Llama-3.2-3B-Instruct-En-Hi-merge-200k |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 3b |
| Required VRAM | 6.5 GB |
| Updated | 2025-02-05 |
| Maintainer | taareshg |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llama 3.2 3B Instruct En Hi Merge 200K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...2 3B Instruct Unsloth Bnb 4bit | 128K / 2.4 GB | 28215 | 3 |
| Llama 3.2 3B Instruct 4bit | 128K / 1.8 GB | 902013 | 27 |
| Llama 3.2 3B Instruct Bnb 4bit | 128K / 2.2 GB | 261992 | 17 |
| Orca Mini V9 0 3B Instruct | 128K / 6.5 GB | 131 | 5 |
| Llama32 3B En Emo V2 | 128K / 2.2 GB | 130 | 1 |
| Gladiator Mini Exp 1211 3B | 128K / 6.5 GB | 5 | 0 |
| Komodo Llama 3.2 3B V2 Fp16 | 128K / 6.5 GB | 75 | 5 |
| ...ator Mini Exp 1222 3B Instruct | 128K / 6.5 GB | 6 | 0 |
| ...r Mini Exp 1221 3B Instruct V2 | 128K / 6.5 GB | 5 | 0 |
| ...ator Mini Exp 1221 3B Instruct | 128K / 6.5 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than taareshg/Llama-3.2-3B-Instruct-En-Hi-merge-200k .
Rank the Llama 3.2 3B Instruct En Hi Merge 200K 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? 42577 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227