Instructions to use SpaceGhost/SpaceCode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpaceGhost/SpaceCode with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SpaceGhost/SpaceCode", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Upload model trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
- adapter_config.json +4 -4
- adapter_model.safetensors +2 -2
adapter_config.json
CHANGED
|
@@ -21,7 +21,7 @@
|
|
| 21 |
"layers_pattern": null,
|
| 22 |
"layers_to_transform": null,
|
| 23 |
"loftq_config": {},
|
| 24 |
-
"lora_alpha":
|
| 25 |
"lora_bias": false,
|
| 26 |
"lora_dropout": 0,
|
| 27 |
"lora_ga_config": null,
|
|
@@ -30,12 +30,12 @@
|
|
| 30 |
"modules_to_save": null,
|
| 31 |
"monteclora_config": null,
|
| 32 |
"peft_type": "LORA",
|
| 33 |
-
"peft_version": "0.21.
|
| 34 |
"qalora_group_size": 16,
|
| 35 |
-
"r":
|
| 36 |
"rank_pattern": {},
|
| 37 |
"revision": null,
|
| 38 |
-
"target_modules": "(?:
|
| 39 |
"target_parameters": null,
|
| 40 |
"task_type": "CAUSAL_LM",
|
| 41 |
"trainable_token_indices": null,
|
|
|
|
| 21 |
"layers_pattern": null,
|
| 22 |
"layers_to_transform": null,
|
| 23 |
"loftq_config": {},
|
| 24 |
+
"lora_alpha": 16,
|
| 25 |
"lora_bias": false,
|
| 26 |
"lora_dropout": 0,
|
| 27 |
"lora_ga_config": null,
|
|
|
|
| 30 |
"modules_to_save": null,
|
| 31 |
"monteclora_config": null,
|
| 32 |
"peft_type": "LORA",
|
| 33 |
+
"peft_version": "0.21.1",
|
| 34 |
"qalora_group_size": 16,
|
| 35 |
+
"r": 16,
|
| 36 |
"rank_pattern": {},
|
| 37 |
"revision": null,
|
| 38 |
+
"target_modules": "(?:.*?(?:language|text).*?(?:self_attn|attention|attn|mixer|mlp|feed_forward|ffn|dense|mixer).*?\\.(?:k_proj|q_proj|v_proj|o_proj|gate_proj|up_proj|down_proj|per_layer_input_gate|per_layer_projection|linear|embedding_projection|relative_k_proj))|(?:\\bmodel\\.layers\\.[\\d]{1,}(?!.*\\.experts\\.\\d)\\..*?(?:self_attn|attention|attn|mixer|mlp|feed_forward|ffn|dense|mixer).*?\\.(?:(?:k_proj|q_proj|v_proj|o_proj|gate_proj|up_proj|down_proj|per_layer_input_gate|per_layer_projection|linear|embedding_projection|relative_k_proj)))",
|
| 39 |
"target_parameters": null,
|
| 40 |
"task_type": "CAUSAL_LM",
|
| 41 |
"trainable_token_indices": null,
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dcca073b6540723654b02f3e9c6a78aadab3f87324dcf04a3fa0d7b64944e3fb
|
| 3 |
+
size 101423928
|