Quant for 3.5

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -2,65 +2,66 @@
 license: other
 license_name: gemma-terms-of-use
 license_link: https://ai.google.dev/gemma/terms
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
 
-## Exllama v2 Quantizations of openchat-3.5-0106-gemma
+## The world's first Gemma fine-tune based on openchat-3.5-0106 data and method (C-RLFT). Almost the same performance as Mistral-based openchat, and much better than Gemma-7b and Gemma-7b-it.
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.15">turboderp's ExLlamaV2 v0.0.15</a> for quantization.
+Please refer to [openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106) for details.
 
-<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
+> P.S.: 6T pre-training tokens + 0.003 init std dev + C-RLFT is the secret sauce?
+>
+> P.P.S.: @Google team, we know your model is great, but please use an OSI-approved license like Mistral (or even Phi and Orca).
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+## Benchmarks
 
-Original model: https://huggingface.co/openchat/openchat-3.5-0106-gemma
+| Model                       | # Params | Average  | MT-Bench | HumanEval | BBH MC   | AGIEval  | TruthfulQA | MMLU     | GSM8K    | BBH CoT  |
+|-----------------------------|----------|----------|----------|-----------|----------|----------|------------|----------|----------|----------|
+| **OpenChat-3.5-0106 Gemma** | **7B**   | 64.4     | 7.83     | 67.7      | **52.7** | **50.2** | 55.4       | 65.7     | **81.5** | 63.7     |
+| OpenChat-3.5-0106 Mistral   | **7B**   | **64.5** | 7.8      | **71.3**  | 51.5     | 49.1     | **61.0**   | 65.8     | 77.4     | 62.2     |
+| ChatGPT (March)             | ???B     | 61.5     | **7.94** | 48.1      | 47.6     | 47.1     | 57.7       | **67.3** | 74.9     | **70.1** |
+|                             |          |          |          |           |          |          |            |          |          |          |
+| Gemma-7B                    | 7B       | -        | -        | 32.3      | -        | 41.7     | -          | 64.3     | 46.4     | -        |
+| Gemma-7B-it *               | 7B       | 25.4     | -        | 28.0      | 38.4     | 32.5     | 34.1       | 26.5     | 10.8     | 7.6      |
+| OpenHermes 2.5              | 7B       | 59.3     | 7.54     | 48.2      | 49.4     | 46.5     | 57.5       | 63.8     | 73.5     | 59.9     |
 
-No GQA - VRAM requirements will be higher
+*: `Gemma-7b-it` failed to understand and follow most few-shot templates.
 
-| Branch                                                         | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
-| -------------------------------------------------------------- | ---- | ------------ | --------- | ---------- | ----------- |
-| [8_0](https://huggingface.co/bartowski/openchat-3.5-0106-gemma-exl2/tree/8_0) | 8.0 | 8.0 | 14.0 GB | 19.4 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
-| [6_5](https://huggingface.co/bartowski/openchat-3.5-0106-gemma-exl2/tree/6_5) | 6.5  | 8.0 | 12.5 GB | 17.9 GB | Near unquantized performance at vastly reduced size, **recommended**. |
-| [5_0](https://huggingface.co/bartowski/openchat-3.5-0106-gemma-exl2/tree/5_0) | 5.0  | 6.0 | 10.9 GB | 16.3 GB | Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context. |
-| [4_25](https://huggingface.co/bartowski/openchat-3.5-0106-gemma-exl2/tree/4_25) | 4.25 | 6.0 | 10.2 GB | 15.7 GB | GPTQ equivalent bits per weight. |
-| [3_5](https://huggingface.co/bartowski/openchat-3.5-0106-gemma-exl2/tree/3_5) | 3.5 | 6.0 | 9.5 GB | 14.9 GB | Lower quality, not recommended. |
+## Usage
 
-## Download instructions
+To use this model, we highly recommend installing the OpenChat package by following the [installation guide](https://github.com/imoneoi/openchat#installation) in our repository and using the OpenChat OpenAI-compatible API server by running the serving command from the table below. The server is optimized for high-throughput deployment using [vLLM](https://github.com/vllm-project/vllm) and can run on a consumer GPU with 24GB RAM. To enable tensor parallelism, append `--tensor-parallel-size N` to the serving command.
 
-With git:
+Once started, the server listens at `localhost:18888` for requests and is compatible with the [OpenAI ChatCompletion API specifications](https://platform.openai.com/docs/api-reference/chat). Please refer to the example request below for reference. Additionally, you can use the [OpenChat Web UI](https://github.com/imoneoi/openchat#web-ui) for a user-friendly experience.
 
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/openchat-3.5-0106-gemma-exl2 openchat-3.5-0106-gemma-exl2-6_5
-```
-
-With huggingface hub (credit to TheBloke for instructions):
+If you want to deploy the server as an online service, you can use `--api-keys sk-KEY1 sk-KEY2 ...` to specify allowed API keys and `--disable-log-requests --disable-log-stats --log-file openchat.log` for logging only to a file. For security purposes, we recommend using an [HTTPS gateway](https://fastapi.tiangolo.com/es/deployment/concepts/#security-https) in front of the server.
 
-```shell
-pip3 install huggingface-hub
-```
+| Model                   | Size | Context | Weights                                                                | Serving                                                                                                                |
+|-------------------------|------|---------|------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------|
+| OpenChat-3.5-0106-Gemma | 7B   | 8192    | [Huggingface](https://huggingface.co/openchat/openchat-3.5-0106-gemma) | `python -m ochat.serving.openai_api_server --model openchat/openchat-3.5-0106-gemma --engine-use-ray --worker-use-ray` |
 
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `openchat-3.5-0106-gemma-exl2`:
+<details>
+  <summary>Example request (click to expand)</summary>
 
-```shell
-mkdir openchat-3.5-0106-gemma-exl2
-huggingface-cli download bartowski/openchat-3.5-0106-gemma-exl2 --local-dir openchat-3.5-0106-gemma-exl2 --local-dir-use-symlinks False
+```bash
+curl http://localhost:18888/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "openchat_3.5_gemma_new",
+    "messages": [{"role": "user", "content": "You are a large language model named OpenChat. Write a poem to describe yourself"}]
+  }'
 ```
 
-To download from a different branch, add the `--revision` parameter:
+</details>
+
+## Conversation template
 
-Linux:
+⚠️ **Notice:** This is different from the Mistral version. End-of-turn token is `<end_of_turn>` now (Mistral version is `<|end_of_turn|>`). Remember to set `<end_of_turn>` as end of generation token.
 
-```shell
-mkdir openchat-3.5-0106-gemma-exl2-6_5
-huggingface-cli download bartowski/openchat-3.5-0106-gemma-exl2 --revision 6_5 --local-dir openchat-3.5-0106-gemma-exl2-6_5 --local-dir-use-symlinks False
+```
+GPT4 Correct User: Hello<end_of_turn>GPT4 Correct Assistant: Hi<end_of_turn>GPT4 Correct User: How are you today?<end_of_turn>GPT4 Correct Assistant:
 ```
 
-Windows (which apparently doesn't like _ in folders sometimes?):
+With system message (**NOT** recommended, may degrade performance)
 
-```shell
-mkdir openchat-3.5-0106-gemma-exl2-6.5
-huggingface-cli download bartowski/openchat-3.5-0106-gemma-exl2 --revision 6_5 --local-dir openchat-3.5-0106-gemma-exl2-6.5 --local-dir-use-symlinks False
 ```
-
-Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
+You are a helpful assistant.<end_of_turn>GPT4 Correct User: Hello<end_of_turn>GPT4 Correct Assistant: Hi<end_of_turn>GPT4 Correct User: How are you today?<end_of_turn>GPT4 Correct Assistant:
+```

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "",
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "eos_token_id": 107,
+  "head_dim": 256,
+  "hidden_act": "gelu",
+  "hidden_size": 3072,
+  "initializer_range": 0.003,
+  "intermediate_size": 24576,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 16,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.1",
+  "use_cache": true,
+  "vocab_size": 256000
+}

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+  "use_default_system_prompt": false
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