3-bit 3bit Autotrain compatible Conversational Endpoints compatible Gptq Mistral Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/acl-srw-2024/phi3-14b-unsloth-sft-gptq-3bit
Phi3 14B Unsloth Sft Gptq 3bit 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 Gptq 3bit Parameters and Internals
| LLM Name | Phi3 14B Unsloth Sft Gptq 3bit |
| Repository 🤗 | https://huggingface.co/acl-srw-2024/phi3-14b-unsloth-sft-gptq-3bit |
| Model Size | 14b |
| Required VRAM | 6 GB |
| Updated | 2025-02-16 |
| Maintainer | acl-srw-2024 |
| Model Type | mistral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|3bit |
| Model Architecture | MistralForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 32011 |
| Torch Data Type | float16 |
Best Alternatives to Phi3 14B Unsloth Sft Gptq 3bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi3 14B Unsloth Sft Gptq 8bit | 4K / 14.6 GB | 6 | 0 |
| Arsh V1 | 4K / 28 GB | 939 | 1 |
| ...ll Phi 3 Medium 4K Inst Philos | 4K / 28 GB | 19 | 0 |
| Phi 3 Unsloth Finetune 7 | 4K / 28 GB | 6 | 0 |
| Phi 3 Unsloth Finetune 6 | 4K / 28 GB | 5 | 0 |
| Phi 3 Unsloth Finetune 5 | 4K / 28 GB | 5 | 0 |
| Phi 3 Unsloth Finetune 4 | 4K / 28 GB | 6 | 0 |
| Phi 3 Unsloth Finetuned 3 | 4K / 28 GB | 6 | 0 |
| ...ral Nemo Instruct 14B Merge V1 | 1000K / 24.6 GB | 19 | 0 |
| K2S3 14B V0.2 | 32K / 28.7 GB | 28 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than acl-srw-2024/phi3-14b-unsloth-sft-gptq-3bit .
Rank the Phi3 14B Unsloth Sft Gptq 3bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227