Llama 2 7B Ko Auto Gptq Full V2 is an open-source language model by WGNW. Features: 7b LLM, VRAM: 4.1GB, Context: 2K, Quantized, LLM Explorer Score: 0.1.
Model Card on HF 🤗: https://huggingface.co/WGNW/llama-2-7b-ko-auto-gptq-full-v2
Llama 2 7B Ko Auto Gptq Full V2 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 2 7B Ko Auto Gptq Full V2 Parameters and Internals
| LLM Name | Llama 2 7B Ko Auto Gptq Full V2 |
| Repository 🤗 | https://huggingface.co/WGNW/llama-2-7b-ko-auto-gptq-full-v2 |
| Model Size | 7b |
| Required VRAM | 4.1 GB |
| Updated | 2026-03-29 |
| Maintainer | WGNW |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.34.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 46336 |
| Torch Data Type | float16 |
Best Alternatives to Llama 2 7B Ko Auto Gptq Full V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yarn Llama 2 7B 128K GPTQ | 128K / 3.9 GB | 8 | 7 |
| Yarn Llama 2 7B 64K GPTQ | 64K / 3.9 GB | 11 | 1 |
| ... 7B 32K Instructions V4 Marlin | 32K / 4.1 GB | 8 | 0 |
| Aixcoder 7B GPTQ | 32K / 4.5 GB | 6 | 1 |
| Calm2 7B Chat GPTQ | 32K / 4.4 GB | 2 | 5 |
| ...Calm2 7B Chat GPTQ Calib Ja 1K | 32K / 4.4 GB | 8 | 5 |
| Llama 2 7B 32K Instruct GPTQ | 32K / 3.9 GB | 31 | 27 |
| Codebear 7B 4bit | 16K / 3.9 GB | 2 | 1 |
| CodeLlama 7B Instruct GPTQ | 16K / 3.9 GB | 1333 | 46 |
| ...a 7B Instruct GPTQ Calib Ja 1K | 16K / 3.9 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than WGNW/llama-2-7b-ko-auto-gptq-full-v2 .
Rank the Llama 2 7B Ko Auto Gptq Full V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a