Samantha PL AG Mistral 7B V0.2 by AdamGrzesik

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  Autotrain compatible Base model:mistral-community/m... Base model:quantized:mistral-c...   Conversational   Endpoints compatible   Generated from trainer   Gguf   Mistral   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Samantha PL AG Mistral 7B V0.2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Samantha PL AG Mistral 7B V0.2 (AdamGrzesik/Samantha-PL-AG-Mistral-7B-v0.2)
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Samantha PL AG Mistral 7B V0.2 Parameters and Internals

Model Type 
MistralForCausalLM
Training Details 
Data Sources:
/workspace/datasets/Samantha-PL-AG-axolotl.json
Methodology:
Fine-tuning with Axolotl configuration
Hardware Used:
multi-GPU, 2 devices
LLM NameSamantha PL AG Mistral 7B V0.2
Repository ๐Ÿค—https://huggingface.co/AdamGrzesik/Samantha-PL-AG-Mistral-7B-v0.2 
Base Model(s)  alpindale/Mistral-7B-v0.2-hf   alpindale/Mistral-7B-v0.2-hf
Model Size7b
Required VRAM14.4 GB
Updated2025-09-16
MaintainerAdamGrzesik
Model Typemistral
Model Files  4.4 GB   5.9 GB   7.7 GB   5.1 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than AdamGrzesik/Samantha-PL-AG-Mistral-7B-v0.2.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124