Upload folder using huggingface_hub
Browse files- README.md +3 -0
- config.json +40 -0
- generation_config.json +6 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
README.md
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
This is a dummy copy of `amd/Mixtral-8x7B-Instruct-v0.1-FP8-KV`, but with two layer only.
|
| 2 |
+
|
| 3 |
+
Useful for profiling / testing purposes.
|
config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "/proj/ossdataset2/quark_torch/Mixtral-8x7B-Instruct-v0.1",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"MixtralForCausalLM"
|
| 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": "mixtral",
|
| 15 |
+
"num_attention_heads": 32,
|
| 16 |
+
"num_experts_per_tok": 2,
|
| 17 |
+
"num_hidden_layers": 2,
|
| 18 |
+
"num_key_value_heads": 8,
|
| 19 |
+
"num_local_experts": 8,
|
| 20 |
+
"output_router_logits": false,
|
| 21 |
+
"quantization_config": {
|
| 22 |
+
"activation_scheme": "static",
|
| 23 |
+
"ignored_layers": [
|
| 24 |
+
"lm_head",
|
| 25 |
+
"*.gate"
|
| 26 |
+
],
|
| 27 |
+
"kv_cache_scheme": "static",
|
| 28 |
+
"quant_method": "fp8"
|
| 29 |
+
},
|
| 30 |
+
"rms_norm_eps": 1e-05,
|
| 31 |
+
"rope_theta": 1000000.0,
|
| 32 |
+
"router_aux_loss_coef": 0.02,
|
| 33 |
+
"router_jitter_noise": 0.0,
|
| 34 |
+
"sliding_window": null,
|
| 35 |
+
"tie_word_embeddings": false,
|
| 36 |
+
"torch_dtype": "bfloat16",
|
| 37 |
+
"transformers_version": "4.44.0",
|
| 38 |
+
"use_cache": true,
|
| 39 |
+
"vocab_size": 32000
|
| 40 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 1,
|
| 4 |
+
"eos_token_id": 2,
|
| 5 |
+
"transformers_version": "4.44.0"
|
| 6 |
+
}
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dc8d3b23c7cb18370fa044ec06ee80619c2c639e1edc756a2997f56c512d32d3
|
| 3 |
+
size 3164787232
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d5130daa4633763fc49e3b9041bf4c779e772a0da9af3a14e3f0d458472147cf
|
| 3 |
+
size 262152376
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"metadata": {"total_size": 46966258816}, "weight_map": {"lm_head.weight": "model-00002-of-00002.safetensors", "model.embed_tokens.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.0.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.0.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.0.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.0.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.0.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.0.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.1.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.1.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.1.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.1.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.1.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.1.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.2.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.2.w1.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.2.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.2.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.2.w2.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.2.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.2.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.2.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.3.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.3.w1.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.3.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.3.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.3.w2.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.3.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.3.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.3.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.4.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.4.w1.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.4.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.4.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.4.w2.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.4.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.4.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.4.w3.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.4.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.5.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.5.w1.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.5.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.5.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.5.w2.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.5.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.5.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.5.w3.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.5.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.6.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.6.w1.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.6.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.6.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.6.w2.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.6.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.6.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.6.w3.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.6.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.7.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.7.w1.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.7.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.7.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.7.w2.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.7.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.7.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.7.w3.weight": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.experts.7.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.k_proj.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.k_proj.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.kv_scale": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.o_proj.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.o_proj.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.q_proj.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.q_proj.weight_scale": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.v_proj.input_scale": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.0.self_attn.v_proj.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.0.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.0.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.0.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.0.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.0.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.0.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.1.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.1.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.1.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.1.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.1.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.1.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.2.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.2.w1.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.2.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.2.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.2.w2.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.2.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.2.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.2.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.3.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.3.w1.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.3.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.3.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.3.w2.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.3.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.3.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.3.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.4.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.4.w1.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.4.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.4.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.4.w2.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.4.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.4.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.4.w3.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.4.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.5.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.5.w1.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.5.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.5.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.5.w2.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.5.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.5.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.5.w3.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.5.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.6.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.6.w1.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.6.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.6.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.6.w2.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.6.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.6.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.6.w3.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.6.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.7.w1.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.7.w1.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.7.w1.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.7.w2.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.7.w2.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.7.w2.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.7.w3.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.7.w3.weight": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.experts.7.w3.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.block_sparse_moe.gate.weight": "model-00001-of-00002.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.k_proj.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.k_proj.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.kv_scale": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.o_proj.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.o_proj.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.q_proj.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.q_proj.weight_scale": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.v_proj.input_scale": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.1.self_attn.v_proj.weight_scale": "model-00001-of-00002.safetensors", "model.norm.weight": "model-00002-of-00002.safetensors"}}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"unk_token": {
|
| 17 |
+
"content": "<unk>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
+
size 493443
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"additional_special_tokens": [],
|
| 32 |
+
"bos_token": "<s>",
|
| 33 |
+
"chat_template": "{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content'] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}\n {%- endif %}\n {%- if message['role'] == 'user' %}\n {%- if loop.first and system_message is defined %}\n {{- ' [INST] ' + system_message + '\\n\\n' + message['content'] + ' [/INST]' }}\n {%- else %}\n {{- ' [INST] ' + message['content'] + ' [/INST]' }}\n {%- endif %}\n {%- elif message['role'] == 'assistant' %}\n {{- ' ' + message['content'] + eos_token}}\n {%- else %}\n {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}\n {%- endif %}\n{%- endfor %}\n",
|
| 34 |
+
"clean_up_tokenization_spaces": false,
|
| 35 |
+
"eos_token": "</s>",
|
| 36 |
+
"legacy": false,
|
| 37 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 38 |
+
"pad_token": null,
|
| 39 |
+
"sp_model_kwargs": {},
|
| 40 |
+
"spaces_between_special_tokens": false,
|
| 41 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 42 |
+
"unk_token": "<unk>",
|
| 43 |
+
"use_default_system_prompt": false
|
| 44 |
+
}
|