Arxiv:1910.09700 4-bit Autotrain compatible Bitsandbytes Endpoints compatible Llama Lora Q4 Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/piyushsalunke/q4-llama-3
Q4 Llama 3 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)
Q4 Llama 3 Parameters and Internals
| LLM Name | Q4 Llama 3 |
| Repository 🤗 | https://huggingface.co/piyushsalunke/q4-llama-3 |
| Model Size | 4.6b |
| Required VRAM | 6.1 GB |
| Updated | 2024-10-29 |
| Maintainer | piyushsalunke |
| Model Type | llama |
| Model Files | |
| Quantization Type | q4 |
| Model Architecture | LlamaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| LoRA Model | Yes |
| Torch Data Type | float16 |
Best Alternatives to Q4 Llama 3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| BNB 4Bit Llama3 Finetune | 8K / 6.1 GB | 13 | 0 |
| Llama3 Finetune 4bit | 8K / 6.1 GB | 0 | 0 |
| TinyLLama V0 | 2K / 0 GB | 312089 | 27 |
| SimpleLlamaSentences | 2K / 0 GB | 19 | 0 |
| UniversalNER TinyLLama | 2K / 0 GB | 21 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than piyushsalunke/q4-llama-3 .
Rank the Q4 Llama 3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217