Phi 3.5 Mini Instruct Hermes Fc Json by vonjack

 ยป  All LLMs  ยป  vonjack  ยป  Phi 3.5 Mini Instruct Hermes Fc Json   URL Share it on

  4bit   Adapter Base model:quantized:unsloth/p... Base model:unsloth/phi-3.5-min...   Conversational Dataset:nousresearch/hermes-fu...   Endpoints compatible   Finetuned   Ggml   Gguf   Instruct   Lora   Q4   Quantized   Region:us   Safetensors

Phi 3.5 Mini Instruct Hermes Fc Json Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3.5 Mini Instruct Hermes Fc Json (vonjack/Phi-3.5-mini-instruct-hermes-fc-json)

Phi 3.5 Mini Instruct Hermes Fc Json Parameters and Internals

LLM NamePhi 3.5 Mini Instruct Hermes Fc Json
Repository ๐Ÿค—https://huggingface.co/vonjack/Phi-3.5-mini-instruct-hermes-fc-json 
Base Model(s)  unsloth/Phi-3.5-mini-instruct-bnb-4bit   unsloth/Phi-3.5-mini-instruct-bnb-4bit
Required VRAM0.1 GB
Updated2025-02-05
Maintainervonjack
Instruction-BasedYes
Model Files  0.1 GB   2.3 GB
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typegguf|ggml|q4|4bit
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length131072
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|gate_proj|k_proj|q_proj|o_proj|up_proj|v_proj
LoRA Alpha16
LoRA Dropout0
R Param16

Best Alternatives to Phi 3.5 Mini Instruct Hermes Fc Json

Best Alternatives
Context / RAM
Downloads
Likes
NaturalLanguagePioneersSTEMExp0K / 0.4 GB50
Mymodel0K / 0.1 GB60
Phi 3 Mini 4K Instruct Sa V0.10K / 0 GB80
...mall Physics Finetuned Adapter0K / 0.1 GB81
Mistral Small Dampf Qlora0K / 0.8 GB80
Mistral Small Fujin Qlora0K / 0.8 GB92
Test0K / 0 GB50
Vfgf0K / 0 GB60
Results0K / 0 GB50
Results Phi3 Medium 4k0K / 0.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than vonjack/Phi-3.5-mini-instruct-hermes-fc-json.

Rank the Phi 3.5 Mini Instruct Hermes Fc Json Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

What open-source LLMs or SLMs are you in search of? 42625 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227