AshhLimaRP Mistral 7B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:lemonilia/ashhlimar... Base model:quantized:lemonilia...   Mistral   Quantized   Region:us   Safetensors

AshhLimaRP Mistral 7B AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AshhLimaRP Mistral 7B AWQ (TheBloke/AshhLimaRP-Mistral-7B-AWQ)

AshhLimaRP Mistral 7B AWQ Parameters and Internals

Model Type 
mistral
Training Details 
Data Volume:
2000 training samples up to about 9k tokens length
Methodology:
fine-tuning on Ashhwriter-Mistral-7B with human-written lewd stories
Hardware Used:
2x NVidia A40 GPUs
Input Output 
Input Format:
### Instruction:\nCharacter's Persona: bot character description\nUser's persona: user character description\nScenario: what happens in the story\nPlay the role of Character. You must engage in a roleplaying chat with User below this line. Do not write dialogues and narration for User. Character should respond with messages of medium length.\n### Input:\nUser: {prompt}\n### Response:\nCharacter:
Accepted Modalities:
text
LLM NameAshhLimaRP Mistral 7B AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/AshhLimaRP-Mistral-7B-AWQ 
Model NameAshhLimaRP Mistral 7B
Model CreatorSuikamelon
Base Model(s)  AshhLimaRP Mistral 7B   lemonilia/AshhLimaRP-Mistral-7B
Model Size7b
Required VRAM4.2 GB
Updated2024-12-22
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/AshhLimaRP-Mistral-7B-AWQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217