AshhLimaRP Mistral 7B GPTQ by TheBloke

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

AshhLimaRP Mistral 7B GPTQ 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 GPTQ (TheBloke/AshhLimaRP-Mistral-7B-GPTQ)

AshhLimaRP Mistral 7B GPTQ Parameters and Internals

Model Type 
mistral
Additional Notes 
LimaRP is a longform-oriented, novel-style roleplaying chat model.
Training Details 
Data Volume:
2000 training samples up to 9k tokens length
Methodology:
finetuned on Ashhwriter-Mistral-7B
Context Length:
8750
Hardware Used:
2x NVidia A40 GPUs
Input Output 
Input Format:
### Instruction: Character's Persona: bot character description User's persona: user character description Scenario: what happens in the story Play 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. ### Input: User: {prompt} ### Response: Character:
LLM NameAshhLimaRP Mistral 7B GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/AshhLimaRP-Mistral-7B-GPTQ 
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
GPTQ QuantizationYes
Quantization Typegptq
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-GPTQ.

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