Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +186 -0
- config.json +39 -0
- generation_config.json +7 -0
- model.safetensors.index.json +649 -0
- output-00001-of-00014.safetensors +3 -0
- output-00002-of-00014.safetensors +3 -0
- output-00003-of-00014.safetensors +3 -0
- output-00004-of-00014.safetensors +3 -0
- output-00005-of-00014.safetensors +3 -0
- output-00006-of-00014.safetensors +3 -0
- output-00007-of-00014.safetensors +3 -0
- output-00008-of-00014.safetensors +3 -0
- output-00009-of-00014.safetensors +3 -0
- output-00010-of-00014.safetensors +3 -0
- output-00011-of-00014.safetensors +3 -0
- output-00012-of-00014.safetensors +3 -0
- output-00013-of-00014.safetensors +3 -0
- output-00014-of-00014.safetensors +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +1 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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1 |
+
---
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2 |
+
library_name: transformers
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+
language:
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+
- en
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+
- fr
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6 |
+
- de
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+
- es
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+
- it
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9 |
+
- pt
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+
- ja
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+
- ko
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+
- zh
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+
- ar
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+
license: cc-by-nc-4.0
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+
tags:
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16 |
+
- exl2
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+
---
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+
|
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+
# c4ai-command-r-plus - EXL2 8.0bpw
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+
|
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+
This is a 8.0bpw EXL2 quant of [CohereForAI/c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
|
22 |
+
|
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+
Details about the model can be found at the above model page.
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24 |
+
|
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+
## Turbodep EXL2 Quants
|
26 |
+
|
27 |
+
This repo only has specific quants not already done at [turboderp/command-r-plus-103B-exl2](https://huggingface.co/turboderp/command-r-plus-103B-exl2)
|
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+
|
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+
Quants marked as turboderp can be downloaded from that repo.
|
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+
|
31 |
+
## EXL2 Version
|
32 |
+
|
33 |
+
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older versions of the exllamav2 library.
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34 |
+
|
35 |
+
If you have problems loading these models, please update Text Generation WebUI to the latest version.
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+
|
37 |
+
## Perplexity Scoring
|
38 |
+
|
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+
Below are the perplexity scores for the EXL2 models. A lower score is better.
|
40 |
+
|
41 |
+
| Quant Level | Perplexity Score | Repo |
|
42 |
+
|-------------|------------------|------|
|
43 |
+
| 6.0 | 4.7068 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
|
44 |
+
| 5.0 | 4.7309 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
|
45 |
+
| 4.5 | 4.8111 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
|
46 |
+
| 4.25 | 4.8292 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
|
47 |
+
| 4.0 | 4.8603 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
|
48 |
+
| 3.75 | 4.9112 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
|
49 |
+
| 3.5 | 4.9592 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
|
50 |
+
| 3.25 | 5.0631 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
|
51 |
+
| 3.0 | 5.2050 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
|
52 |
+
| 2.5 | 5.6681 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
|
53 |
+
|
54 |
+
|
55 |
+
## EQ Bench
|
56 |
+
|
57 |
+
Here are the EQ Bench scores for the EXL2 quants using Alpaca, ChatML, Command-R and Command-R-Plus prompt templates. A higher score is better.
|
58 |
+
|
59 |
+
_TODO_
|
60 |
+
|
61 |
+
### Command-R-Plus Template
|
62 |
+
|
63 |
+
This is the Command-R-Plus template yaml that was used in EQ bench(which uses Text Generation Web UI yaml templates). It adds BOS_TOKEN into the starter prompt.
|
64 |
+
|
65 |
+
_text-generation-webui/instruction-templates/Command-R-Plus.yaml_:
|
66 |
+
```yaml
|
67 |
+
instruction_template: |-
|
68 |
+
{%- if messages[0]['role'] == 'system' -%}
|
69 |
+
{%- set loop_messages = messages[1:] -%}
|
70 |
+
{%- set system_message = messages[0]['content'] -%}
|
71 |
+
{%- elif false == true -%}
|
72 |
+
{%- set loop_messages = messages -%}
|
73 |
+
{%- set system_message = 'You are Command-R, a brilliant, sophisticated, AI-assistant trained to assist human users by providing thorough responses. You are trained by Cohere.' -%}
|
74 |
+
{%- else -%}
|
75 |
+
{%- set loop_messages = messages -%}
|
76 |
+
{%- set system_message = false -%}
|
77 |
+
{%- endif -%}
|
78 |
+
{%- if system_message != false -%}
|
79 |
+
{{ '<BOS_TOKEN><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' + system_message + '<|END_OF_TURN_TOKEN|>' }}
|
80 |
+
{%- endif -%}
|
81 |
+
{%- for message in loop_messages -%}
|
82 |
+
{%- set content = message['content'] -%}
|
83 |
+
{%- if message['role'] == 'user' -%}
|
84 |
+
{{ '<|START_OF_TURN_TOKEN|><|USER_TOKEN|>' + content.strip() + '<|END_OF_TURN_TOKEN|>' }}
|
85 |
+
{%- elif message['role'] == 'assistant' -%}
|
86 |
+
{{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' + content.strip() + '<|END_OF_TURN_TOKEN|>' }}
|
87 |
+
{%- endif -%}
|
88 |
+
{%- endfor -%}
|
89 |
+
{%- if add_generation_prompt -%}
|
90 |
+
{{ '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}
|
91 |
+
{%- endif -%}
|
92 |
+
|
93 |
+
```
|
94 |
+
|
95 |
+
### Perplexity Script
|
96 |
+
|
97 |
+
This was the script used for perplexity testing.
|
98 |
+
|
99 |
+
```bash
|
100 |
+
#!/bin/bash
|
101 |
+
|
102 |
+
# Activate the conda environment
|
103 |
+
source ~/miniconda3/etc/profile.d/conda.sh
|
104 |
+
conda activate exllamav2
|
105 |
+
|
106 |
+
# Set the model name and bit size
|
107 |
+
MODEL_NAME="c4ai-command-r-plus"
|
108 |
+
BIT_PRECISIONS=(8.0 7.5 7.0 6.5 5.5 2.75 2.25)
|
109 |
+
|
110 |
+
# MODEL_NAME="turboderp_command-r-plus-103B"
|
111 |
+
# BIT_PRECISIONS=(6.0 5.0 4.5 4.25 4.0 3.75 3.5 3.25 3.0 2.5)
|
112 |
+
|
113 |
+
# Print the markdown table header
|
114 |
+
echo "| Quant Level | Perplexity Score |"
|
115 |
+
echo "|-------------|------------------|"
|
116 |
+
|
117 |
+
for BIT_PRECISION in "${BIT_PRECISIONS[@]}"
|
118 |
+
do
|
119 |
+
MODEL_DIR="models/${MODEL_NAME}_exl2_${BIT_PRECISION}bpw"
|
120 |
+
# MODEL_DIR="models/${MODEL_NAME}-exl2_${BIT_PRECISION}bpw"
|
121 |
+
if [ -d "$MODEL_DIR" ]; then
|
122 |
+
output=$(python test_inference.py -m "$MODEL_DIR" -gs 22,24 -ed data/wikitext/wikitext-2-v1.parquet)
|
123 |
+
score=$(echo "$output" | grep -oP 'Evaluation perplexity: \K[\d.]+')
|
124 |
+
echo "| $BIT_PRECISION | $score |"
|
125 |
+
fi
|
126 |
+
done
|
127 |
+
```
|
128 |
+
|
129 |
+
|
130 |
+
## Quant Details
|
131 |
+
|
132 |
+
This is the script used for quantization.
|
133 |
+
|
134 |
+
```bash
|
135 |
+
#!/bin/bash
|
136 |
+
|
137 |
+
# Activate the conda environment
|
138 |
+
source ~/miniconda3/etc/profile.d/conda.sh
|
139 |
+
conda activate exllamav2
|
140 |
+
|
141 |
+
# Set the model name and bit size
|
142 |
+
MODEL_NAME="c4ai-command-r-plus"
|
143 |
+
|
144 |
+
# Define variables
|
145 |
+
MODEL_DIR="models/$MODEL_NAME"
|
146 |
+
OUTPUT_DIR="exl2_$MODEL_NAME"
|
147 |
+
MEASUREMENT_FILE="measurements/$MODEL_NAME.json"
|
148 |
+
|
149 |
+
# Create the measurement file if needed
|
150 |
+
if [ ! -f "$MEASUREMENT_FILE" ]; then
|
151 |
+
echo "Creating $MEASUREMENT_FILE"
|
152 |
+
# Create directories
|
153 |
+
if [ -d "$OUTPUT_DIR" ]; then
|
154 |
+
rm -r "$OUTPUT_DIR"
|
155 |
+
fi
|
156 |
+
mkdir "$OUTPUT_DIR"
|
157 |
+
|
158 |
+
python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -om $MEASUREMENT_FILE
|
159 |
+
fi
|
160 |
+
|
161 |
+
# Choose one of the below. Either create a single quant for testing or a batch of them.
|
162 |
+
# BIT_PRECISIONS=(5.0)
|
163 |
+
BIT_PRECISIONS=(8.0 7.5 6.5 5.5 2.75 2.25)
|
164 |
+
|
165 |
+
for BIT_PRECISION in "${BIT_PRECISIONS[@]}"
|
166 |
+
do
|
167 |
+
CONVERTED_FOLDER="models/${MODEL_NAME}_exl2_${BIT_PRECISION}bpw"
|
168 |
+
|
169 |
+
# If it doesn't already exist, make the quant
|
170 |
+
if [ ! -d "$CONVERTED_FOLDER" ]; then
|
171 |
+
|
172 |
+
echo "Creating $CONVERTED_FOLDER"
|
173 |
+
|
174 |
+
# Create directories
|
175 |
+
if [ -d "$OUTPUT_DIR" ]; then
|
176 |
+
rm -r "$OUTPUT_DIR"
|
177 |
+
fi
|
178 |
+
mkdir "$OUTPUT_DIR"
|
179 |
+
mkdir "$CONVERTED_FOLDER"
|
180 |
+
|
181 |
+
# Run conversion commands
|
182 |
+
python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -m $MEASUREMENT_FILE -b $BIT_PRECISION -cf $CONVERTED_FOLDER
|
183 |
+
|
184 |
+
fi
|
185 |
+
done
|
186 |
+
```
|
config.json
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{
|
2 |
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"architectures": [
|
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"CohereForCausalLM"
|
4 |
+
],
|
5 |
+
"attention_bias": false,
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 5,
|
8 |
+
"eos_token_id": 255001,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 12288,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 33792,
|
13 |
+
"layer_norm_eps": 1e-05,
|
14 |
+
"logit_scale": 0.8333333333333334,
|
15 |
+
"max_position_embeddings": 8192,
|
16 |
+
"model_max_length": 131072,
|
17 |
+
"model_type": "cohere",
|
18 |
+
"num_attention_heads": 96,
|
19 |
+
"num_hidden_layers": 64,
|
20 |
+
"num_key_value_heads": 8,
|
21 |
+
"pad_token_id": 0,
|
22 |
+
"rope_theta": 75000000.0,
|
23 |
+
"torch_dtype": "float16",
|
24 |
+
"transformers_version": "4.40.0.dev0",
|
25 |
+
"use_cache": true,
|
26 |
+
"use_qk_norm": true,
|
27 |
+
"vocab_size": 256000,
|
28 |
+
"quantization_config": {
|
29 |
+
"quant_method": "exl2",
|
30 |
+
"version": "0.0.18",
|
31 |
+
"bits": 8.0,
|
32 |
+
"head_bits": 6,
|
33 |
+
"calibration": {
|
34 |
+
"rows": 100,
|
35 |
+
"length": 2048,
|
36 |
+
"dataset": "(default)"
|
37 |
+
}
|
38 |
+
}
|
39 |
+
}
|
generation_config.json
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{
|
2 |
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"_from_model_config": true,
|
3 |
+
"bos_token_id": 5,
|
4 |
+
"eos_token_id": 255001,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.40.0.dev0"
|
7 |
+
}
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model.safetensors.index.json
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{"add_bos_token": true, "add_eos_token": false, "bos_token": "<BOS_TOKEN>", "clean_up_tokenization_spaces": false, "eos_token": "<|END_OF_TURN_TOKEN|>", "legacy": true, "model_max_length": 1000000000000000019884624838656, "pad_token": "<PAD>", "sp_model_kwargs": {}, "spaces_between_special_tokens": false, "tokenizer_class": "CohereTokenizerFast", "unk_token": null, "use_default_system_prompt": false}
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