Arxiv:1910.09700 4-bit 4bit Autotrain compatible Endpoints compatible Gptq Llama Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/hoang1123/Llama-2-7b-chat-4bit-gptq
Llama 2 7B Chat 4bit Gptq 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 Chat 4bit Gptq Parameters and Internals
| LLM Name | Llama 2 7B Chat 4bit Gptq |
| Repository 🤗 | https://huggingface.co/hoang1123/Llama-2-7b-chat-4bit-gptq |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 3.9 GB |
| Updated | 2025-02-22 |
| Maintainer | hoang1123 |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|4bit |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Llama 2 7B Chat 4bit Gptq
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yarn Llama 2 7B 128K GPTQ | 128K / 3.9 GB | 80 | 7 |
| Yarn Llama 2 7B 64K GPTQ | 64K / 3.9 GB | 44 | 1 |
| ... 7B 32K Instructions V4 Marlin | 32K / 4.1 GB | 6 | 0 |
| Aixcoder 7B GPTQ | 32K / 4.5 GB | 77 | 1 |
| Calm2 7B Chat GPTQ | 32K / 4.4 GB | 71 | 6 |
| ...Calm2 7B Chat GPTQ Calib Ja 1K | 32K / 4.4 GB | 18 | 5 |
| Llama 2 7B 32K Instruct GPTQ | 32K / 3.9 GB | 57 | 27 |
| Codebear 7B 4bit | 16K / 3.9 GB | 4 | 1 |
| ...a 7B Instruct GPTQ Calib Ja 1K | 16K / 3.9 GB | 12 | 0 |
| CodeLlama 7B Instruct GPTQ | 16K / 3.9 GB | 592 | 46 |
Rank the Llama 2 7B Chat 4bit Gptq Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227