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Model: brittlewis12/Memphis-CoT-3B-GGUF
Source: Original Platform

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README.md

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+---
+base_model: euclaise/Memphis-CoT-3B
+datasets:
+  - euclaise/TinyCoT
+  - euclaise/reddit-instruct
+  - sablo/oasst2_curated
+license: cc-by-sa-3.0
+language:
+- en
+model_creator: euclaise
+model_name: Memphis-CoT-3B
+model_type: stablelm_epoch
+inference: false
+tags:
+  - supertrainer2000
+  - human-data
+  - stablelm_epoch
+pipeline_tag: text-generation
+prompt_template: |
+  {{system_message}}
+  ### User:
+  {{prompt}}
+  ### Assistant:
+  
+quantized_by: brittlewis12
+---
+
+# Memphis-CoT-3B GGUF
+
+![](https://cdn-uploads.huggingface.co/production/uploads/64137e2150358a805203cbac/DlTWku8gant1yx6NaxqJX.png)
+
+Original model: [Memphis-CoT-3B](https://huggingface.co/euclaise/Memphis-CoT-3B)
+Model creator: [euclaise](https://huggingface.co/euclaise)
+
+This repo contains GGUF format model files for euclaise’s Memphis-CoT-3B, updated for the latest training run as of 2/2/24.
+
+> Memphis-CoT is a finetune of StableLM 3b 4e1t on TinyCoT, along with reddit-instruct (subset to 5000 examples, excluding posts with brackets in the title) and a curated subset of oasst2.
+
+
+### What is GGUF?
+
+GGUF is a file format for representing AI models. It is the third version of the format, introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
+Converted using llama.cpp b2022 ([8f8ddfc](https://github.com/ggerganov/llama.cpp/commits/8f8ddfcfadc830b936318c3ea9fe2e8e3365aa85))
+
+### Prompt template:
+
+```
+{{system_message}}
+### User:
+{{prompt}}
+### Assistant:
+```
+
+or Tiny CoT:
+```
+### User:
+{{prompt}}
+### Rationale:
+[...]
+### Answer:
+```
+
+---
+
+## Download & run with [cnvrs](https://twitter.com/cnvrsai) on iPhone, iPad, and Mac!
+
+![cnvrs.ai](https://pbs.twimg.com/profile_images/1744049151241797632/0mIP-P9e_400x400.jpg)
+
+[cnvrs](https://testflight.apple.com/join/sFWReS7K) is the best app for private, local AI on your device:
+- create & save **Characters** with custom system prompts & temperature settings
+- download and experiment with any **GGUF model** you can [find on HuggingFace](https://huggingface.co/models?library=gguf)!
+- make it your own with custom **Theme colors**
+- powered by Metal ⚡️ & [Llama.cpp](https://github.com/ggerganov/llama.cpp), with **haptics** during response streaming!
+- **try it out** yourself today, on [Testflight](https://testflight.apple.com/join/sFWReS7K)!
+- follow [cnvrs on twitter](https://twitter.com/cnvrsai) to stay up to date
+
+---
+
+## Original Model Evaluations:
+
+| Model                                                                  | Size   | Data                | Method        | GSM8K (5-shot) | AGIEval (English/Nous subset, acc_norm) | BIG Bench Hard (CoT, few-shot*) |
+|:-----------------------------------------------------------------------|--------|:--------------------|---------------|:---------------|:----------------------------------------|:------------------------------  |
+| [StableLM 3B Base](https://hf.co/stabilityai/stablelm-3b-4e1t)       | 3B     | Base                | Base          |    2.05%       | 25.14%                                  |  36.75%                           |
+| [StableHermes 3B](https://hf.co/cxllin/StableHermes-3b)                | 3B     | GPT                 | SFT           |    3.64%       | 24.31%                                  | *37.28%*                        |
+| [MPT 7B Instruct](https://hf.co/mosaicml/mpt-7b-instruct)              | **7B** | **Human**+Anthropic | SFT           |    2.05%       | 24.12%                                  | 11.01%                          |
+| [OpenLLaMA 7B v2 open-instruct](http://hf.co/VMware/open-llama-7b-v2-open-instruct) | **7B** | **Human** (nearly: ecqa is an exception) | SFT | 8.64% | 23.21%                   | 29.84%                          |
+| [StableLM Zephyr 3B](https://hf.co/stabilityai/stablelm-zephyr-3b)     | 3B     | GPT                 | DPO           |    possibly contaminated (45.72%)  | **33.31%**                   | 0.91%                           |
+| [**Memphis-CoT 3B**](https://hf.co/euclaise/memphis-cot-3b)            | 3B     | **Human**           | Self-teaching |    **13.8%**       | *26.24%*                            | **38.24%**                      |
+
+*5-shot, as performed automatically by LM Evaluation Harness bbh_cot_fewshot even with num_fewshot=0
+
+> Memphis outperforms other primarily-human-data models that are over twice its size, along with SFT models of its size, and trades with the Zephyr DPO model. That said, Zephyr uses synthetic data, and *much* more of it.

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