Quant for 4.25

README.md

@@ -1,68 +1,65 @@
 ---
 license: apache-2.0
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
+Model card for the Mistral-11b-v0.1 AI model.
+
+An upscaling and continued pretraining of Mistral-7B-v0.1 AI model by MistralAi.
+
+❤ Thank you for the original Mistral-7B-v0.1 model to:
+```yaml
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-## Exllama v2 Quantizations of Mistral-11b-v0.1
-
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.15">turboderp's ExLlamaV2 v0.0.15</a> for quantization.
-
-## The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
-
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
-
-Conversion was done using the default calibration dataset.
-
-Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
-
-Original model: https://huggingface.co/Replete-AI/Mistral-11b-v0.1
-
-
-<a href="https://huggingface.co/bartowski/Mistral-11b-v0.1-exl2/tree/8_0">8.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Mistral-11b-v0.1-exl2/tree/6_5">6.5 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Mistral-11b-v0.1-exl2/tree/5_0">5.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Mistral-11b-v0.1-exl2/tree/4_25">4.25 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/Mistral-11b-v0.1-exl2/tree/3_5">3.5 bits per weight</a>
-
-
-## Download instructions
-
-With git:
-
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Mistral-11b-v0.1-exl2
 ```
 
-With huggingface hub (credit to TheBloke for instructions):
+The Mistral-11b-v0.1 AI model is a next generation AI meant to continue the legacy started by MistralAi. What began as a 7b parameter model, we have now grown, not only in capacity but also in intelligence, to help bring more to the open source AI community that was sorely needed in this area. Mistral-7B-v0.1 at the time of release was the best and smartest AI model for its size, and we at Replete-AI hope to reproduce that success with our new model at its 11b parameter size.
 
-```shell
-pip3 install huggingface-hub
-```
+The model had continued pre-training on a private collection of data that we do not plan on releasing at the current time.
 
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Mistral-11b-v0.1-exl2`:
 
-```shell
-mkdir Mistral-11b-v0.1-exl2
-huggingface-cli download bartowski/Mistral-11b-v0.1-exl2 --local-dir Mistral-11b-v0.1-exl2 --local-dir-use-symlinks False
+The Prompt template for the Mistral-11b-v0.1 is (ChatML) as that is the format that it was trained on.
 ```
-
-To download from a different branch, add the `--revision` parameter:
-
-Linux:
-
-```shell
-mkdir Mistral-11b-v0.1-exl2-6_5
-huggingface-cli download bartowski/Mistral-11b-v0.1-exl2 --revision 6_5 --local-dir Mistral-11b-v0.1-exl2-6_5 --local-dir-use-symlinks False
-```
-
-Windows (which apparently doesn't like _ in folders sometimes?):
-
-```shell
-mkdir Mistral-11b-v0.1-exl2-6.5
-huggingface-cli download bartowski/Mistral-11b-v0.1-exl2 --revision 6_5 --local-dir Mistral-11b-v0.1-exl2-6.5 --local-dir-use-symlinks False
+<|im_start|>system
+{system_message}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
 ```

config.json

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+{
+  "_name_or_path": "Mistral-11b-v0.1",
+  "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": 50,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.39.0.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,
+  "transformers_version": "4.34.0.dev0"
+}

model.safetensors.index.json

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