Quant for 3.5

README.md

@@ -6,60 +6,17 @@ datasets:
 language:
 - en
 library_name: transformers
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
+More information about previous [Neuronovo/neuronovo-7B-v0.2](https://huggingface.co/Neuronovo/neuronovo-7B-v0.2) version available here: 🔗[Don't stop DPOptimizing!](https://www.linkedin.com/pulse/dont-stop-dpoptimizing-jan-koco%2525C5%252584-mq4qf)
 
-## Exllama v2 Quantizations of neuronovo-7B-v0.3
+Author: Jan Kocoń     🔗[LinkedIn](https://www.linkedin.com/in/jankocon/)     🔗[Google Scholar](https://scholar.google.com/citations?user=pmQHb5IAAAAJ&hl=en&oi=ao)     🔗[ResearchGate](https://www.researchgate.net/profile/Jan-Kocon-2)
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
+Changes concerning [Neuronovo/neuronovo-7B-v0.2](https://huggingface.co/Neuronovo/neuronovo-7B-v0.2):
 
-# The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
+1. **Training Dataset**: In addition to the [Intel/orca_dpo_pairs](Intel/orca_dpo_pairs) dataset, this version incorporates a [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs). The combined datasets enhance the model's capabilities in dialogues and interactive scenarios, further specializing it in natural language understanding and response generation.
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+2. **Tokenizer and Formatting**: The tokenizer now originates directly from the [Neuronovo/neuronovo-7B-v0.2](https://huggingface.co/Neuronovo/neuronovo-7B-v0.2) model.
 
-Conversion was done using the default calibration dataset.
+3. **Training Configuration**: The training approach has shifted from using `max_steps=200` to `num_train_epochs=1`. This represents a change in the training strategy, focusing on epoch-based training rather than a fixed number of steps.
 
-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/Neuronovo/neuronovo-7B-v0.3
-
-
-
-<a href="https://huggingface.co/bartowski/neuronovo-7B-v0.3-exl2/tree/8_0">8.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/neuronovo-7B-v0.3-exl2/tree/6_5">6.5 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/neuronovo-7B-v0.3-exl2/tree/5_0">5.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/neuronovo-7B-v0.3-exl2/tree/4_0">4.0 bits per weight</a>
-
-<a href="https://huggingface.co/bartowski/neuronovo-7B-v0.3-exl2/tree/3_5">3.5 bits per weight</a>
-
-## Download instructions
-
-With git:
-
-```shell
-git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/neuronovo-7B-v0.3-exl2
-```
-
-With huggingface hub (credit to TheBloke for instructions):
-
-```shell
-pip3 install huggingface-hub
-```
-
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `neuronovo-7B-v0.3-exl2`:
-
-```shell
-mkdir neuronovo-7B-v0.3-exl2
-huggingface-cli download bartowski/neuronovo-7B-v0.3-exl2 --local-dir neuronovo-7B-v0.3-exl2 --local-dir-use-symlinks False
-```
-
-To download from a different branch, add the `--revision` parameter:
-
-```shell
-mkdir neuronovo-7B-v0.3-exl2
-huggingface-cli download bartowski/neuronovo-7B-v0.3-exl2 --revision 4_0 --local-dir neuronovo-7B-v0.3-exl2 --local-dir-use-symlinks False
-```
+4. **Learning Rate**: The learning rate has been reduced to a smaller value of `5e-6`. This finer learning rate allows for more precise adjustments during the training process, potentially leading to better model performance.

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "/Neuronovo/neuronovo-7B-v0.3/",
+  "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": 40,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.36.2"
+}

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