Conversational Endpoints compatible Gguf Instruct Lora Quantized Qwen2 Region:us Safetensors Uncensored
Qwen2 7B Open Instruct Uncensored 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 Open Instruct Uncensored Parameters and Internals
| LLM Name | Qwen2 7B Open Instruct Uncensored |
| Repository 🤗 | https://huggingface.co/stephenlzc/Qwen2-7B-open-instruct-uncensored |
| Model Size | 7b |
| Required VRAM | 0.2 GB |
| Updated | 2024-10-18 |
| Maintainer | stephenlzc |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | mit |
| Model Max Length | 131072 |
| Is Biased | none |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|o_proj|down_proj|gate_proj|k_proj|q_proj|up_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
| Errors | replace |
Best Alternatives to Qwen2 7B Open Instruct Uncensored
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...zardLM 7B V1.0 Uncensored GGUF | 0K / GB | 3 | 1 |
| WizardLM 7B Uncensored GGUF | 0K / 2.8 GB | 6331 | 21 |
| ...zardLM 7B V1.0 Uncensored GGUF | 0K / 2.8 GB | 913 | 6 |
| Pixel | 8K / 4.4 GB | 63 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 75620 | 3 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 95301 | 389 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 7892 | 58 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
| Qwen2 7B Instruct V0.1 GGUF | 0K / 4.5 GB | 9714 | 0 |
| Qwen2 7B Instruct V0.7 GGUF | 0K / 4.5 GB | 9530 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than stephenlzc/Qwen2-7B-open-instruct-uncensored .
Rank the Qwen2 7B Open Instruct Uncensored Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803