2bit Autotrain compatible Conversational Endpoints compatible Lora Mistral Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/acl-srw-2024/phi3-14b-unsloth-sft-quip-2bit
Phi3 14B Unsloth Sft Quip 2bit 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)
Phi3 14B Unsloth Sft Quip 2bit Parameters and Internals
| LLM Name | Phi3 14B Unsloth Sft Quip 2bit |
| Repository 🤗 | https://huggingface.co/acl-srw-2024/phi3-14b-unsloth-sft-quip-2bit |
| Model Size | 14b |
| Required VRAM | 0.1 GB |
| Updated | 2025-02-16 |
| Maintainer | acl-srw-2024 |
| Model Files | |
| Quantization Type | 2bit |
| Model Architecture | AutoModelForCausalLM |
| Model Max Length | 4096 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | down_proj|v_proj|q_proj|gate_proj|up_proj|o_proj|k_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Phi3 14B Unsloth Sft Quip 2bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi3 14B Unsloth Sft Quip 3bit | 0K / 0.1 GB | 6 | 0 |
| ReWiz Qwen 2.5 14B | 0K / 29.7 GB | 344 | 5 |
| MING MoE 14B | 0K / 0.1 GB | 20 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than acl-srw-2024/phi3-14b-unsloth-sft-quip-2bit .
Rank the Phi3 14B Unsloth Sft Quip 2bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227