Autotrain compatible Base model:unsloth/phi-3-mini-... Conversational En Endpoints compatible Instruct License:apache-2.0 Lora Mistral Region:us Safetensors Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/shubhamrathore081/followup_v6
Followup V6 Parameters and Internals
| LLM Name | Followup V6 |
| Repository 🤗 | https://huggingface.co/shubhamrathore081/followup_v6 |
| Base Model(s) | |
| Model Size | 3.8b |
| Required VRAM | 7.6 GB |
| Updated | 2024-07-04 |
| Maintainer | shubhamrathore081 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Model Max Length | 4096 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|o_proj|down_proj|v_proj|gate_proj|k_proj|up_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 32 |
Best Alternatives to Followup V6
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 3 Mini Instruct 16bit | 0K / 7.6 GB | 8 | 0 |
| ...ct Bnb 4bit 16 4 100 1 Nonmath | 0K / 7.6 GB | 33 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than shubhamrathore081/followup_v6 .
Rank the Followup V6 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124