Arxiv:1910.09700 4-bit Autotrain compatible Bitsandbytes Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow
Qwen2 7B Instruct Nf4 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)
Qwen2 7B Instruct Nf4 Parameters and Internals
| LLM Name | Qwen2 7B Instruct Nf4 |
| Repository 🤗 | https://huggingface.co/fubuki9/Qwen2-7B-Instruct-nf4 |
| Model Size | 7b |
| Required VRAM | 5.9 GB |
| Updated | 2024-09-07 |
| Maintainer | fubuki9 |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.1 |
| Vocabulary Size | 152064 |
| Torch Data Type | float16 |
Quantized Models of the Qwen2 7B Instruct Nf4
Model |
Likes |
Downloads |
VRAM |
|---|---|---|---|
| Qwen2 7B Instruct Bnb 4bit | 4 | 9200 | 5 GB |
| Qwen2 7B Instruct 4bit | 3 | 106 | 4 GB |
| Qwen2 7B Instruct 4bit | 1 | 20 | 5 GB |
Best Alternatives to Qwen2 7B Instruct Nf4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gte Qwen2 7B Instruct | 128K / 30.5 GB | 20948 | 158 |
| Qwen2 7B Instruct V0.1 | 128K / 15.2 GB | 40968 | 1 |
| Qwen2 7B Instruct V0.8 | 128K / 15.2 GB | 40990 | 3 |
| Einstein V7 Qwen2 7B | 128K / 15.2 GB | 4289 | 35 |
| ...nity Instruct 3M 0625 Qwen2 7B | 128K / 15.2 GB | 4519 | 7 |
| Samantha Qwen 2 7B | 128K / 15.2 GB | 4227 | 2 |
| Qwen2 7B Instruct V0.4 | 128K / 15.2 GB | 41008 | 1 |
| Qwen2 7B Instruct V0.5 | 128K / 15.2 GB | 41019 | 1 |
| Qwen2 7B Instruct V0.7 | 128K / 15.2 GB | 40972 | 1 |
| Qwen2 7B Instruct V0.3 | 128K / 15.2 GB | 40943 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than fubuki9/Qwen2-7B-Instruct-nf4 .
Rank the Qwen2 7B Instruct Nf4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803