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Browse files- Midnight-Miqu-70B-exl2-5-textgen.jpg +0 -0
- README.md +58 -0
- config.json +29 -0
- huggingface-metadata.txt +20 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00006.safetensors +3 -0
- output-00002-of-00006.safetensors +3 -0
- output-00003-of-00006.safetensors +3 -0
- output-00004-of-00006.safetensors +3 -0
- output-00005-of-00006.safetensors +3 -0
- output-00006-of-00006.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
Midnight-Miqu-70B-exl2-5-textgen.jpg
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README.md
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---
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base_model: []
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.imgur.com/Tn9MBg6.png" alt="MidnightMiqu" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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# Midnight-Miqu-70B-v1.0 - EXL2 5.0bpw
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This is a 5.0bpw EXL2 quant of [sophosympatheia/Midnight-Miqu-70B-v1.0](https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.0)
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Details about the model and the merge info can be found at the above mode page.
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I have not extensively tested this quant/model other than ensuring I could load it and chat with it.
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## Model Loading
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Below is what I used to run this model on a dual 3090 Linux server.
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![image/jpg](Midnight-Miqu-70B-exl2-5-textgen.jpg)
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I have not tested inference above a couple K tokens. If the model blows out past 8k, consider a 8192 context without cache_8bit set.
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## Quant Details
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This is the script used for quantization.
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```bash
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#!/bin/bash
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# Activate the conda environment
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source ~/miniconda3/etc/profile.d/conda.sh
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conda activate exllamav2
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# Define variables
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MODEL_DIR="models/sophosympatheia_Midnight-Miqu-70B-v1.0"
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OUTPUT_DIR="exl2_midnight70b"
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MEASUREMENT_FILE="measurements/midnight70b.json"
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BIT_PRECISION=5.0
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CONVERTED_FOLDER="models/Midnight-Miqu-70B_exl2_5.0bpw"
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# Create directories
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mkdir $OUTPUT_DIR
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mkdir $CONVERTED_FOLDER
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# Run conversion commands
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python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -om $MEASUREMENT_FILE
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python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -m $MEASUREMENT_FILE -b $BIT_PRECISION -cf $CONVERTED_FOLDER
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```
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config.json
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{
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"_name_or_path": "midnight-miqu-70b",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 32764,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 80,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 1000000,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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huggingface-metadata.txt
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url: https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.0
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branch: main
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download date: 2024-03-02 16:23:30
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sha256sum:
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+
}
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tokenizer.json
ADDED
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tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,42 @@
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|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": true,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": true,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"bos_token": "<s>",
|
31 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": false,
|
35 |
+
"model_max_length": 1000000000000000019884624838656,
|
36 |
+
"pad_token": "<unk>",
|
37 |
+
"sp_model_kwargs": {},
|
38 |
+
"spaces_between_special_tokens": false,
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
+
"use_default_system_prompt": false
|
42 |
+
}
|