PiVoT 10.7B Mistral V0.2 AWQ by TheBloke

 ยป  All LLMs  ยป  TheBloke  ยป  PiVoT 10.7B Mistral V0.2 AWQ   URL Share it on

  4-bit   Autotrain compatible   Awq Base model:maywell/pivot-10.7b... Base model:quantized:maywell/p...   Conversational   En   Ko   Mistral   Quantized   Region:us   Safetensors

PiVoT 10.7B Mistral V0.2 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
PiVoT 10.7B Mistral V0.2 AWQ (TheBloke/PiVoT-10.7B-Mistral-v0.2-AWQ)

PiVoT 10.7B Mistral V0.2 AWQ Parameters and Internals

Model Type 
mistral, text-generation
Supported Languages 
en (English), ko (Korean)
Input Output 
Input Format:
[INST] {prompt} [/INST]
LLM NamePiVoT 10.7B Mistral V0.2 AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/PiVoT-10.7B-Mistral-v0.2-AWQ 
Model NamePivot 10.7B Mistral V0.2
Model CreatorJeonghwan Park
Base Model(s)  maywell/PiVoT-10.7B-Mistral-v0.2   maywell/PiVoT-10.7B-Mistral-v0.2
Model Size10.7b
Required VRAM6 GB
Updated2024-12-22
MaintainerTheBloke
Model Typemistral
Model Files  6.0 GB
Supported Languagesen ko
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensecc-by-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to PiVoT 10.7B Mistral V0.2 AWQ

Best Alternatives
Context / RAM
Downloads
Likes
...iVoT 10.7B Mistral V0.2 RP AWQ32K / 6 GB242
Pandora V1.10.7B AWQ32K / 6 GB191
...l Maid 32K V0.2 A EXL2 Bpw 6.032K / 8.2 GB101
PiVoT 10.7B Mistral V0.232K / 21.4 GB51545
Barely Regal 10.7B GGUF32K / 6.5 GB380
Barely Regal 10.7B32K / 21.5 GB190
Quintellect 10.7B32K / 21.4 GB903
Chikuma 10.7B32K / 21.4 GB3015
Multi Verse Model 10.7B32K / 21.5 GB171
BetaMonarch 10.7B32K / 21.5 GB352
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/PiVoT-10.7B-Mistral-v0.2-AWQ.

Rank the PiVoT 10.7B Mistral V0.2 AWQ 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? 40066 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217