4-bit Autotrain compatible Conversational Endpoints compatible Exl2 Llama Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/agentlans/Llama3-Prime-EXL2-4bpw
Llama3 Prime EXL2 4bpw 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)
Llama3 Prime EXL2 4bpw Parameters and Internals
| LLM Name | Llama3 Prime EXL2 4bpw |
| Repository 🤗 | https://huggingface.co/agentlans/Llama3-Prime-EXL2-4bpw |
| Required VRAM | 5 GB |
| Updated | 2025-09-23 |
| Maintainer | agentlans |
| Model Type | llama |
| Model Files | |
| Quantization Type | exl2 |
| Model Architecture | LlamaForCausalLM |
| License | llama3 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|eot_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llama3 Prime EXL2 4bpw
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... Text Chat 512K 5.0bpw H6 EXL2 | 512K / 4.4 GB | 2 | 1 |
| ... Text Chat 512K 6.0bpw H6 EXL2 | 512K / 5.2 GB | 0 | 1 |
| Slimorca Phi 3.5 | 128K / 7.6 GB | 5 | 0 |
| Phi 3.5 Instruct Vul | 128K / 7.6 GB | 5 | 0 |
| ... Text Chat 128K 6.0bpw H6 EXL2 | 128K / 5.2 GB | 5 | 1 |
| ...ocalAI Functioncall Phi 4 V0.3 | 16K / 29.4 GB | 8 | 8 |
| PARM V2 Phi 4 4K CoT PyTorch | 16K / 29.4 GB | 0 | 1 |
| QuantumQuill | 16K / 2.2 GB | 5 | 0 |
| CodeMate V0.1 6.0bpw H6 EXL2 | 16K / 25.7 GB | 10 | 1 |
| ...oros C34b 3.1.2 8.0bpw H6 EXL2 | 16K / 34 GB | 3 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than agentlans/Llama3-Prime-EXL2-4bpw .
Rank the Llama3 Prime EXL2 4bpw Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124