Iggnis commited on
Commit
1ff0452
1 Parent(s): 9476cb6

Upload config

Browse files
Files changed (2) hide show
  1. README.md +3 -3
  2. config.json +38 -0
README.md CHANGED
@@ -4,12 +4,12 @@ library_name: peft
4
  tags:
5
  - generated_from_trainer
6
  base_model: mistralai/Mistral-7B-v0.1
7
- model-index:
8
- - name: mistral-flo-finetune-2-T4
9
- results: []
10
  widget:
11
  - text: He was a skater boy, she said see you later boy
12
  pipeline_tag: text-generation
 
 
 
13
  ---
14
 
15
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
4
  tags:
5
  - generated_from_trainer
6
  base_model: mistralai/Mistral-7B-v0.1
 
 
 
7
  widget:
8
  - text: He was a skater boy, she said see you later boy
9
  pipeline_tag: text-generation
10
+ model-index:
11
+ - name: mistral-flo-finetune-2-T4
12
+ results: []
13
  ---
14
 
15
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "mistralai/Mistral-7B-v0.1",
3
+ "architectures": [
4
+ "MistralForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 2,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 14336,
13
+ "max_position_embeddings": 32768,
14
+ "model_type": "mistral",
15
+ "num_attention_heads": 32,
16
+ "num_hidden_layers": 32,
17
+ "num_key_value_heads": 8,
18
+ "quantization_config": {
19
+ "bnb_4bit_compute_dtype": "bfloat16",
20
+ "bnb_4bit_quant_type": "nf4",
21
+ "bnb_4bit_use_double_quant": true,
22
+ "llm_int8_enable_fp32_cpu_offload": false,
23
+ "llm_int8_has_fp16_weight": false,
24
+ "llm_int8_skip_modules": null,
25
+ "llm_int8_threshold": 6.0,
26
+ "load_in_4bit": true,
27
+ "load_in_8bit": false,
28
+ "quant_method": "bitsandbytes"
29
+ },
30
+ "rms_norm_eps": 1e-05,
31
+ "rope_theta": 10000.0,
32
+ "sliding_window": 4096,
33
+ "tie_word_embeddings": false,
34
+ "torch_dtype": "bfloat16",
35
+ "transformers_version": "4.37.0",
36
+ "use_cache": false,
37
+ "vocab_size": 32000
38
+ }