Autotrain compatible Base model:phi-3 followup mode... Conversational En Endpoints compatible License:apache-2.0 Mistral Region:us Safetensors Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/shubhamrathore081/followup_v12
Followup V12 Parameters and Internals
| LLM Name | Followup V12 |
| Repository 🤗 | https://huggingface.co/shubhamrathore081/followup_v12 |
| Base Model(s) | |
| Model Size | 3.8b |
| Required VRAM | 7.6 GB |
| Updated | 2024-07-04 |
| Maintainer | shubhamrathore081 |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to Followup V12
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Astral 128K | 125K / 7.5 GB | 120 | 1 |
| Zephyrnt 3.8B | 32K / 7.5 GB | 67 | 0 |
| Phi 3 Mini 4K Instruct | 4K / 7.6 GB | 11009 | 43 |
| Llama Phi 3 DoRA | 4K / 7.6 GB | 116 | 6 |
| Barcenas 3.8B | 4K / 7.6 GB | 77 | 1 |
| Mcqa | 4K / 7.6 GB | 72 | 0 |
| Phi Pandalm | 4K / 7.6 GB | 80 | 0 |
| Empty Phi 3 Mini | 4K / 7.6 GB | 76 | 0 |
| Hermes | 4K / 7.6 GB | 71 | 1 |
| Phi 3 Mini 4K Mango 2 | 4K / 7.6 GB | 88 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than shubhamrathore081/followup_v12 .
Rank the Followup V12 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