Instructions to use Deeptimayi/Fine_Tuning_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Deeptimayi/Fine_Tuning_Models with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Deeptimayi/Fine_Tuning_Models")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Deeptimayi/Fine_Tuning_Models")
model = AutoModelForCausalLM.from_pretrained("Deeptimayi/Fine_Tuning_Models", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Deeptimayi/Fine_Tuning_Models with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Deeptimayi/Fine_Tuning_Models"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Deeptimayi/Fine_Tuning_Models",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Deeptimayi/Fine_Tuning_Models

SGLang

How to use Deeptimayi/Fine_Tuning_Models with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Deeptimayi/Fine_Tuning_Models" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Deeptimayi/Fine_Tuning_Models",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Deeptimayi/Fine_Tuning_Models" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Deeptimayi/Fine_Tuning_Models",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Desktop
Docker Model Runner
How to use Deeptimayi/Fine_Tuning_Models with Docker Model Runner:
```
docker model run hf.co/Deeptimayi/Fine_Tuning_Models
```

Deeptimayi commited on Mar 14

Commit

aaab51e

verified ·

1 Parent(s): 9d09370

Upload model trained with Unsloth

Browse files

Upload model trained with Unsloth 2x faster

Files changed (4) hide show

README.md +1 -0
config.json +41 -0
generation_config.json +10 -0
model.safetensors +3 -0

README.md CHANGED Viewed

@@ -6,6 +6,7 @@ tags:
 - unsloth
 - mistral
 - trl
 license: apache-2.0
 language:
 - en

 - unsloth
 - mistral
 - trl
+- sft
 license: apache-2.0
 language:
 - en

config.json ADDED Viewed

	@@ -0,0 +1,41 @@

+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_token_id": 770,
+  "quantization_config": {
+    "bnb_4bit_compute_dtype": "float16",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.56.2",
+  "unsloth_version": "2026.3.4",
+  "use_cache": true,
+  "vocab_size": 32768
+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,10 @@

+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": [
+    2
+  ],
+  "max_length": 32768,
+  "pad_token_id": 770,
+  "transformers_version": "4.56.2"
+}

model.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:069c1228172f1ebcddf51ae9ddf07a15f8ad34885bd8004a8f7b512ba773c918
+size 4406709538