4bit Autotrain compatible Base model:unsloth/phi-3-mini-... Conversational En Endpoints compatible Instruct License:apache-2.0 Mistral Pytorch Quantized Region:us Sft Sharded Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/catastropiyush/Phi-3_3.8B_Carbon24
Phi 3 3.8B Carbon24 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)
Phi 3 3.8B Carbon24 Parameters and Internals
| LLM Name | Phi 3 3.8B Carbon24 |
| Repository 🤗 | https://huggingface.co/catastropiyush/Phi-3_3.8B_Carbon24 |
| Base Model(s) | |
| Model Size | 3.8b |
| Required VRAM | 7.6 GB |
| Updated | 2024-07-15 |
| Maintainer | catastropiyush |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | float16 |
Best Alternatives to Phi 3 3.8B Carbon24
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... Instruct Unsloth Merged 16bit | 4K / 7.6 GB | 27 | 1 |
| ...Word Problems 200K Model 16bit | 4K / 7.6 GB | 3879 | 0 |
| Porpoise1 | 4K / 7.6 GB | 427 | 0 |
| ...rser User V9b Epoch 7 Lr 0.002 | 4K / 7.6 GB | 76 | 0 |
| ...100 Percent Low Med Perplexity | 4K / 7.6 GB | 80 | 0 |
| ...Af 50 Percent Low Med Nv Embed | 4K / 7.6 GB | 110 | 0 |
| ...22 Epoch7 0.002 Nosystemprompt | 4K / 7.6 GB | 79 | 0 |
| ...20 Epoch7 0.002 Nosystemprompt | 4K / 7.6 GB | 76 | 0 |
| Pii Redaction V0.3 | 4K / 7.6 GB | 80 | 2 |
| ... 4K Instruct Matter 0.1 Slim A | 4K / 7.6 GB | 13 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than catastropiyush/Phi-3_3.8B_Carbon24 .
Rank the Phi 3 3.8B Carbon24 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? 43470 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227