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GPT4ALL-13B-GPTQ-4bit-128g.compat.no-act-order.safetensors

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README.md

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 ---
-license: other
+license: gpl
+datasets:
+- nomic-ai/gpt4all-j-prompt-generations
+language:
+- en
+inference: false
 ---
+# GPT4All-13B-snoozy-GPTQ
+
+This repo contains 4bit GPTQ format quantised models of  [Nomic.AI's GPT4all-13B-snoozy](https://huggingface.co/nomic-ai/gpt4all-13b-snoozy).
+
+It is the result of quantising to 4bit using [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa).
+
+## Repositories available
+
+* [4bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/GPT4ALL-13B-snoozy-GPTQ).
+* [Nomic.AI's original model in float32 HF for GPU inference](https://huggingface.co/nomic-ai/gpt4all-13b-snoozy).
+ 
+## How to easily download and use this model in text-generation-webui
+
+Open the text-generation-webui UI as normal.
+
+1. Click the **Model tab**.
+2. Under **Download custom model or LoRA**, enter `TheBloke/GPT4All-13B-snoozy-GPTQ`.
+3. Click **Download**.
+4. Wait until it says it's finished downloading.
+5. Click the **Refresh** icon next to **Model** in the top left.
+6. In the **Model drop-down**: choose the model you just downloaded, `GPT4All-13B-snoozy-GPTQ`.
+7. If you see an error in the bottom right, ignore it - it's temporary.
+8. Fill out the `GPTQ parameters` on the right: `Bits = 4`, `Groupsize = 128`, `model_type = Llama`
+9. Click **Save settings for this model** in the top right.
+10. Click **Reload the Model** in the top right.
+11. Once it says it's loaded, click the **Text Generation tab** and enter a prompt!
+
+## Provided files
+
+**Compatible file - GPT4ALL-13B-GPTQ-4bit-128g.compat.no-act-order.safetensors**
+
+In the `main` branch - the default one - you will find `GPT4ALL-13B-GPTQ-4bit-128g.compat.no-act-order.safetensors`
+
+This will work with all versions of GPTQ-for-LLaMa. It has maximum compatibility
+
+It was created without the `--act-order` parameter. It may have slightly lower inference quality compared to the other file, but is guaranteed to work on all versions of GPTQ-for-LLaMa and text-generation-webui.
+
+* `GPT4ALL-13B-GPTQ-4bit-128g.compat.no-act-order.safetensors`
+  * Works with all versions of GPTQ-for-LLaMa code, both Triton and CUDA branches
+  * Works with text-generation-webui one-click-installers
+  * Parameters: Groupsize = 128g. No act-order.
+  * Command used to create the GPTQ:
+    ```
+    CUDA_VISIBLE_DEVICES=0 python3 llama.py GPT4All-13B-snoozy c4 --wbits 4 --true-sequential --groupsize 128 --save_safetensors GPT4ALL-13B-GPTQ-4bit-128g.compat.no-act-order.safetensors
+    ```
+   
+
+# Original Model Card for GPT4All-13b-snoozy
+
+An Apache-2 licensed chatbot trained over a massive curated corpus of assistant interactions including word problems, multi-turn dialogue, code, poems, songs, and stories.
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This model has been finetuned from LLama 13B
+
+- **Developed by:** [Nomic AI](https://home.nomic.ai)
+- **Model Type:** A finetuned LLama 13B model on assistant style interaction data
+- **Language(s) (NLP):** English
+- **License:** Apache-2
+- **Finetuned from model [optional]:** LLama 13B
+
+This model was trained on `nomic-ai/gpt4all-j-prompt-generations` using `revision=v1.3-groovy`
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [https://github.com/nomic-ai/gpt4all](https://github.com/nomic-ai/gpt4all)
+- **Base Model Repository:** [https://github.com/facebookresearch/llama](https://github.com/facebookresearch/llama)
+- **Demo [optional]:** [https://gpt4all.io/](https://gpt4all.io/)
+
+
+### Results
+
+Results on common sense reasoning benchmarks
+
+```
+  Model                     BoolQ       PIQA     HellaSwag   WinoGrande    ARC-e      ARC-c       OBQA
+  ----------------------- ---------- ---------- ----------- ------------ ---------- ---------- ----------
+  GPT4All-J 6B v1.0          73.4       74.8       63.4         64.7        54.9       36.0       40.2
+  GPT4All-J v1.1-breezy      74.0       75.1       63.2         63.6        55.4       34.9       38.4
+  GPT4All-J v1.2-jazzy       74.8       74.9       63.6         63.8        56.6       35.3       41.0
+  GPT4All-J v1.3-groovy      73.6       74.3       63.8         63.5        57.7       35.0       38.8
+  GPT4All-J Lora 6B          68.6       75.8       66.2         63.5        56.4       35.7       40.2
+  GPT4All LLaMa Lora 7B      73.1       77.6       72.1         67.8        51.1       40.4       40.2
+  GPT4All 13B snoozy        *83.3*      79.2       75.0        *71.3*       60.9       44.2       43.4
+  Dolly 6B                   68.8       77.3       67.6         63.9        62.9       38.7       41.2
+  Dolly 12B                  56.7       75.4       71.0         62.2       *64.6*      38.5       40.4
+  Alpaca 7B                  73.9       77.2       73.9         66.1        59.8       43.3       43.4
+  Alpaca Lora 7B             74.3      *79.3*      74.0         68.8        56.6       43.9       42.6
+  GPT-J 6B                   65.4       76.2       66.2         64.1        62.2       36.6       38.2
+  LLama 7B                   73.1       77.4       73.0         66.9        52.5       41.4       42.4
+  LLama 13B                  68.5       79.1      *76.2*        70.1        60.0      *44.6*      42.2
+  Pythia 6.9B                63.5       76.3       64.0         61.1        61.3       35.2       37.2
+  Pythia 12B                 67.7       76.6       67.3         63.8        63.9       34.8       38.0
+  Vicuña T5                  81.5       64.6       46.3         61.8        49.3       33.3       39.4
+  Vicuña 13B                 81.5       76.8       73.3         66.7        57.4       42.7       43.6
+  Stable Vicuña RLHF         82.3       78.6       74.1         70.9        61.0       43.5      *44.4*
+  StableLM Tuned             62.5       71.2       53.6         54.8        52.4       31.1       33.4
+  StableLM Base              60.1       67.4       41.2         50.1        44.9       27.0       32.0
+```

config.json

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+{
+  "_name_or_path": "ckpts/dedupe/epoch_0",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 2048,
+  "max_sequence_length": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.28.0.dev0"
+}

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