Model Card on HF 🤗: https://huggingface.co/dddreamerrr/pruned_model
Pruned Model 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)
Pruned Model Parameters and Internals
| LLM Name | Pruned Model |
| Repository 🤗 | https://huggingface.co/dddreamerrr/pruned_model |
| Model Size | 5.1b |
| Required VRAM | 10.3 GB |
| Updated | 2025-09-23 |
| Maintainer | dddreamerrr |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.55.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Pruned Model
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pallas 0.5 LASER 0.6 GPTQ | 195K / 18.6 GB | 15 | 1 |
| Pallas 0.5 GPTQ | 195K / 18.6 GB | 0 | 1 |
| Pallas 0.4 GPTQ | 195K / 18.6 GB | 13 | 1 |
| Pallas 0.3 GPTQ | 195K / 18.6 GB | 0 | 1 |
| Tess M V1.3 GPTQ | 195K / 18.6 GB | 6 | 2 |
| Tess M V1.2 GPTQ | 195K / 18.6 GB | 4 | 2 |
| Tess M V1.1 GPTQ | 195K / 18.6 GB | 13 | 1 |
| Tess M Creative V1.0 GPTQ | 195K / 18.6 GB | 3 | 5 |
| PiVoT SUS RP GPTQ | 8K / 18.6 GB | 15 | 1 |
Rank the Pruned Model Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 51567 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124