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README.md

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 license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.1
+datasets:
+- Open-Orca/SlimOrca
+- HuggingFaceH4/no_robots
+- Intel/orca_dpo_pairs
+- rizerphe/glaive-function-calling-v2-zephyr
+- codefuse-ai/Evol-instruction-66k
+library_name: transformers
+pipeline_tag: text-generation
 ---
+
+AWQ GEMM quant of `TokenBender/pic_7B_mistral_Full_v0.2`
+
+# pic_7B_mistral_Full_v0.2
+PIC_7B_Mistral (First phase)
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
+A curated, decontaminated subset of datasets used have been mentioned in the model card.
+All used datasets are public as of the time of release of this model.
+
+Collaborate or Consult me - [Twitter](https://twitter.com/4evaBehindSOTA), [Discord](https://discord.gg/ftEM63pzs2)
+
+*Recommended format is ChatML, Alpaca will work but take care of EOT token*
+
+#### Chat Model Inference
+
+
+## Model description
+
+First generic model of Project PIC (Partner-in-Crime) in 7B range.
+Trying a bunch of things and seeing what sticks right now.
+
+Empathy + Coder + Instruction/json/function adherence is my game.
+Finding lots of challenges and insights in this effort, patience is key.
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6398bf222da24ee95b51c8d8/Fl-pRCsC_lvnuoP734hsJ.png)
+
+## Intended uses & limitations
+
+Should be useful in generic capacity.
+Demonstrates little bit of everything.
+
+Basic tests in -
+Roleplay: Adherence to character present.
+json/function-calling: Passing
+Coding: To be evaluated
+
+
+## Training procedure
+SFT + DPO
+
+### Training results
+Humaneval and evalplus results to be shared as well.
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6398bf222da24ee95b51c8d8/Ysat2Hi3MInSKSlUrft-i.png)
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1
+- Datasets 2.15.0
+- Tokenizers 0.15.0