Quant for 6.5

README.md

@@ -3,63 +3,60 @@ license: apache-2.0
 datasets:
 - garage-bAInd/Open-Platypus
 - jondurbin/airoboros-3.2
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
 
-## Exllama v2 Quantizations of Platyboros-Instruct-7B
+<img src=https://huggingface.co/lodrick-the-lafted/Platyboros-Instruct-7B/resolve/main/platyboros.png>
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</a> for quantization.
+# Platyboros-Instruct-7B
 
-<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
+[Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) trained with [jondurbin/airoboros-3.2](https://huggingface.co/datasets/jondurbin/airoboros-3.2) and [garage-bAInd/Open-Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus), in Alpaca format.
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+<br />
+<br />
 
-Original model: https://huggingface.co/lodrick-the-lafted/Platyboros-Instruct-7B
+# Prompt Format
 
-| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
-| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
-| [8_0](https://huggingface.co/bartowski/Platyboros-Instruct-7B-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
-| [6_5](https://huggingface.co/bartowski/Platyboros-Instruct-7B-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
-| [5_0](https://huggingface.co/bartowski/Platyboros-Instruct-7B-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB |  9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
-| [4_25](https://huggingface.co/bartowski/Platyboros-Instruct-7B-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
-| [3_5](https://huggingface.co/bartowski/Platyboros-Instruct-7B-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
+Both the default Mistral-Instruct tags and Alpaca are fine, so either:
+```
+<s>[INST] {sys_prompt} {instruction} [/INST] 
+```
 
-## Download instructions
+or
 
-With git:
 
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Platyboros-Instruct-7B-exl2 Platyboros-Instruct-7B-exl2-6_5
 ```
+{sys_prompt}
 
-With huggingface hub (credit to TheBloke for instructions):
-
-```shell
-pip3 install huggingface-hub
-```
+### Instruction:
+{instruction}
 
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Platyboros-Instruct-7B-exl2`:
+### Response:
 
-```shell
-mkdir Platyboros-Instruct-7B-exl2
-huggingface-cli download bartowski/Platyboros-Instruct-7B-exl2 --local-dir Platyboros-Instruct-7B-exl2 --local-dir-use-symlinks False
 ```
+The tokenizer default is Alpaca this time around.
 
-To download from a different branch, add the `--revision` parameter:
+<br />
+<br />
 
-Linux:
+# Usage
 
-```shell
-mkdir Platyboros-Instruct-7B-exl2-6_5
-huggingface-cli download bartowski/Platyboros-Instruct-7B-exl2 --revision 6_5 --local-dir Platyboros-Instruct-7B-exl2-6_5 --local-dir-use-symlinks False
-```
+```python
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "lodrick-the-lafted/Platyboros-Instruct-7B"
 
-Windows (which apparently doesn't like _ in folders sometimes?):
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.bfloat16},
+)
 
-```shell
-mkdir Platyboros-Instruct-7B-exl2-6.5
-huggingface-cli download bartowski/Platyboros-Instruct-7B-exl2 --revision 6_5 --local-dir Platyboros-Instruct-7B-exl2-6.5 --local-dir-use-symlinks False
+messages = [{"role": "user", "content": "Give me a cooking recipe for an apple pie."}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_p=0.95)
+print(outputs[0]["generated_text"])
 ```
 
-Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "lodrick-the-lafted/Platyboros-Instruct-7B",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.38.0.dev0"
+}

original_repo_url.txt

@@ -0,0 +1 @@
+https://huggingface.co/lodrick-the-lafted/Platyboros-Instruct-7B

output.safetensors

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+oid sha256:2afa1c430532a8593d12bed3ec2e3a63b6bb055e54b8cc8e51ff9e2592daab85
+size 6063513896

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special_tokens_map.json

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tokenizer.model

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tokenizer_config.json

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