4-bit Autotrain compatible Awq Base model:mlabonne/meta-llama... Base model:quantized:mlabonne/... Conversational Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/solidrust/Meta-Llama-3-12B-Instruct-AWQ
Meta Llama 3 12B Instruct AWQ 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)
Meta Llama 3 12B Instruct AWQ Parameters and Internals
| LLM Name | Meta Llama 3 12B Instruct AWQ |
| Repository 🤗 | https://huggingface.co/solidrust/Meta-Llama-3-12B-Instruct-AWQ |
| Base Model(s) | |
| Model Size | 12b |
| Required VRAM | 7.5 GB |
| Updated | 2025-09-30 |
| Maintainer | solidrust |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to Meta Llama 3 12B Instruct AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OpenCrystal 12B L3.1 128K | 128K / 23 GB | 4 | 3 |
| OpenCrystal 12B L3 | 8K / 23 GB | 17 | 17 |
Note: green Score (e.g. "73.2") means that the model is better than solidrust/Meta-Llama-3-12B-Instruct-AWQ .
Rank the Meta Llama 3 12B Instruct AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124