Upload folder using huggingface_hub
Browse files- config.json +35 -0
- mergekit_moe_config.yml +25 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +84 -0
config.json
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{
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"_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
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"architectures": [
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"MixtralForCausalLM"
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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": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 16384,
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"mlp_bias": false,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"num_local_experts": 4,
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"output_router_logits": false,
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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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"router_aux_loss_coef": 0.001,
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"router_jitter_noise": 0.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.2",
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"use_cache": true,
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"vocab_size": 32016
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}
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mergekit_moe_config.yml
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base_model: codellama/CodeLlama-7b-Instruct-hf
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dtype: bfloat16
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gate_mode: hidden
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experts:
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- source_model: codellama/CodeLlama-7b-Instruct-hf
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positive_prompts:
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- "What are the names of all departments that have 'Research' in their name?"
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- "What is the average salary of employees in each country in the Middle East and Africa region?"
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- "How many students have an animal or plant allergy?"
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- source_model: MrezaPRZ/codellama_high_quality_sft
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positive_prompts:
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- "SELECT T1.name FROM ACCOUNTS T1 JOIN CHECKING T2 ON T1.custid = T2.custid WHERE date(T2.balance, 'start of month') = date('now', 'start of month') ORDER BY T2.balance ASC LIMIT 1;"
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- "SELECT MAX(service_datetime) AS latest_booking_date, MIN(service_datetime) AS earliest_booking_date, JULIANDAY(MAX(service_datetime)) - JULIANDAY(MIN(service_datetime)) AS max_time_gap FROM Party_Services;"
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- "SELECT COUNT(DISTINCT T1.nationality) FROM architect AS T1 JOIN (SELECT architect_id FROM bridge GROUP BY architect_id) AS T2 ON T1.id = T2.architect_id JOIN (SELECT architect_id FROM mill GROUP BY architect_id) AS T3 ON T1.id = T3.architect_id;"
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- source_model: MrezaPRZ/codellama_high_quality_sft_postgres
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positive_prompts:
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- "SELECT state, cname, enr, RANK() OVER (PARTITION BY state ORDER BY enr DESC) as rank FROM college ORDER BY state, rank"
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- "SELECT T1.title FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.film_id = T2.film_id JOIN market AS T3 ON T2.market_id = T3.market_id WHERE T3.country = 'Japan' AND T1.studio = 'Paramount' ORDER BY T2.high_estimate DESC FETCH FIRST ROW ONLY;"
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- "SELECT COUNT(DISTINCT T1.country) FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id JOIN invoices AS T3 ON T2.order_id = T3.order_id WHERE T2.date_order_placed > NOW() - INTERVAL '1 year' AND T3.invoice_date > NOW() - INTERVAL '1 year';"
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- source_model: MrezaPRZ/codellama_high_quality_sft_bigquery
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positive_prompts:
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- "SELECT T1.Country, COUNT(DISTINCT T1.Artist_ID) AS unique_artists, SUM(T3.Attendance) AS total_attendance FROM artist AS T1 JOIN exhibition AS T2 ON T1.Artist_ID = T2.Artist_ID JOIN exhibition_record AS T3 ON T2.Exhibition_ID = T3.Exhibition_ID WHERE T2.Theme = 'Spring' GROUP BY ROLLUP(T1.Country) HAVING COUNT(DISTINCT T1.Artist_ID) > 1 ORDER BY total_attendance DESC LIMIT 5;"
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- "SELECT DISTINCT T1.Name AS alias_column, LOWER(T1.Name) AS lname FROM actor T1 WHERE T1.Character LIKE '%Kennedy%'"
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- "SELECT T1.Service_Type_Code, AVG(CASE WHEN T2.Event_Details = 'Fail' THEN 1 ELSE 0 END) * COUNT(*) AS avg_failed_events FROM Services T1 JOIN Events T2 ON T1.Service_ID = T2.Service_ID WHERE T1.Service_Type_Code <> 'Death Proof' GROUP BY T1.Service_Type_Code"
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model-00001-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00002-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00004.safetensors
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model-00004-of-00004.safetensors
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model.safetensors.index.json
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special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
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+
{
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2 |
+
"additional_special_tokens": [
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3 |
+
"β<PRE>",
|
4 |
+
"β<MID>",
|
5 |
+
"β<SUF>",
|
6 |
+
"β<EOT>"
|
7 |
+
],
|
8 |
+
"bos_token": {
|
9 |
+
"content": "<s>",
|
10 |
+
"lstrip": false,
|
11 |
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false
|
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},
|
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"eos_token": {
|
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"content": "</s>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false
|
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},
|
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"pad_token": "<s>",
|
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"unk_token": {
|
24 |
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"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
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}
|
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+
}
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tokenizer.json
ADDED
The diff for this file is too large to render.
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tokenizer.model
ADDED
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
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3 |
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size 500058
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tokenizer_config.json
ADDED
@@ -0,0 +1,84 @@
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{
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"add_bos_token": true,
|
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"add_eos_token": false,
|
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"0": {
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"content": "<unk>",
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
|
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"content": "<s>",
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"single_word": false,
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"special": true
|
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},
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"32007": {
|
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"content": "β<PRE>",
|
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"lstrip": false,
|
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|
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"rstrip": false,
|
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"single_word": false,
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"special": true
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},
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"32008": {
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"content": "β<SUF>",
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"32009": {
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"content": "β<MID>",
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},
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"32010": {
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"content": "β<EOT>",
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"single_word": false,
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"special": true
|
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}
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},
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"additional_special_tokens": [
|
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"β<PRE>",
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"β<MID>",
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"β<SUF>",
|
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"β<EOT>"
|
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],
|
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"bos_token": "<s>",
|
69 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content | trim + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content | trim + ' ' + eos_token }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"eot_token": "β<EOT>",
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"fill_token": "<FILL_ME>",
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"legacy": null,
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"middle_token": "β<MID>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<s>",
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"prefix_token": "β<PRE>",
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"sp_model_kwargs": {},
|
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"suffix_token": "β<SUF>",
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"tokenizer_class": "CodeLlamaTokenizer",
|
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"unk_token": "<unk>",
|
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"use_default_system_prompt": false
|
84 |
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}
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