4bit Autotrain compatible Base model:finetune:unsloth/ze... Base model:unsloth/zephyr-sft-... Conversational En Endpoints compatible Instruct Mistral Pytorch Quantized Region:us Sft Sharded Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/Geraldine/FineZephir-sft-instruct-ead-16bit
FineZephir Sft Instruct Ead 16bit 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)
FineZephir Sft Instruct Ead 16bit Parameters and Internals
| LLM Name | FineZephir Sft Instruct Ead 16bit |
| Repository 🤗 | https://huggingface.co/Geraldine/FineZephir-sft-instruct-ead-16bit |
| Base Model(s) | |
| Required VRAM | 14.4 GB |
| Updated | 2024-12-23 |
| Maintainer | Geraldine |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.47.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to FineZephir Sft Instruct Ead 16bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... Instruct Unsloth Merged 16bit | 4K / 7.6 GB | 3 | 1 |
| ... Mini 4K Instruct Bnb 4bit Ita | 4K / 7.6 GB | 1181 | 0 |
| ... Mini 4K Instruct Bnb 4bit Ita | 4K / 7.6 GB | 971 | 0 |
| Phired | 4K / 7.6 GB | 12 | 0 |
| ...ini New Model With Lora Merged | 4K / 7.6 GB | 5 | 0 |
| Phi3 History V2 | 4K / 7.6 GB | 6 | 0 |
| Phi 3 Mini Hospital Topic 50 | 4K / 7.6 GB | 5 | 0 |
| Model | 4K / 7.6 GB | 5 | 0 |
| MainPHI3 | 4K / 7.6 GB | 6 | 0 |
| Model | 4K / 7.6 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Geraldine/FineZephir-sft-instruct-ead-16bit .
Rank the FineZephir Sft Instruct Ead 16bit 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? 51544 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124