Instructions to use KSP-NMAI/Boris-250M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KSP-NMAI/Boris-250M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="KSP-NMAI/Boris-250M")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("KSP-NMAI/Boris-250M") model = AutoModelForCausalLM.from_pretrained("KSP-NMAI/Boris-250M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use KSP-NMAI/Boris-250M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "KSP-NMAI/Boris-250M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "KSP-NMAI/Boris-250M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/KSP-NMAI/Boris-250M
- SGLang
How to use KSP-NMAI/Boris-250M 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 "KSP-NMAI/Boris-250M" \ --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": "KSP-NMAI/Boris-250M", "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 "KSP-NMAI/Boris-250M" \ --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": "KSP-NMAI/Boris-250M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use KSP-NMAI/Boris-250M with Docker Model Runner:
docker model run hf.co/KSP-NMAI/Boris-250M
Commit ·
79a833e
0
Parent(s):
Duplicate from KSP-NMAI/Boris-125M
Browse files- .gitattributes +37 -0
- Boris-125M.png +3 -0
- README.md +55 -0
- benchmark.png +3 -0
- config.json +35 -0
- generation_config.json +9 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
.gitattributes
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Boris-125M.png
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Git LFS Details
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README.md
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---
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license: apache-2.0
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datasets:
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- HuggingFaceFW/fineweb-edu
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- mlfoundations/dclm-baseline-1.0-parquet
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language:
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- en
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tags:
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- boris
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- nmai
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- 125M
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---
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# Boris-125M
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Boris-125M is a Large Language Model created by New Millennium Artificial Intelligence, trained on 2.5B tokens and contains 125 million parameters.
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Trained for 33:38:48 on one RTX 3060.
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# Final Stats:
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### Loss - 3.2998
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### Grad Norm - 0.281
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### Learning Rate - 6.00e-05
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## Details
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| | |
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|---|---|
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| Architecture | GPT-2 (pre-LN, learned positional embeddings, tied embeddings) |
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| Layers / heads / d_model | 12 / 12 / 768 |
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| Context length | 1024 |
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| Vocab | 50304 (GPT-NeoX-20B BPE, padded) |
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| Tokenizer | `EleutherAI/gpt-neox-20b` |
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| Precision | trained in bf16 autocast with fp32 master weights |
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Base model; not instruction-tuned or aligned. Outputs may be inaccurate or
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offensive.
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## Copyright & License:
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*Copyright 2026 Joseph Jones*
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This project and all associated files (the "Work") are licensed under the Apache License, Version 2.0 (the "License"); you may not use this project except in compliance with the License. You may obtain a copy of the License at:
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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benchmark.png
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Git LFS Details
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config.json
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{
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"activation_function": "gelu",
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"add_cross_attention": false,
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.0,
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"bos_token_id": 0,
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"dtype": "float32",
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"embd_pdrop": 0.0,
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"eos_token_id": 0,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 768,
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"n_head": 12,
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 1024,
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"pad_token_id": null,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.0,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"tie_word_embeddings": true,
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"transformers_version": "5.13.1",
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"use_cache": true,
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"vocab_size": 50304
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"output_attentions": false,
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"output_hidden_states": false,
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"transformers_version": "5.13.1",
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"use_cache": true
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:78f258697af535e16866538dd53377dc947027b3d0ac6cbdb8e9ca940e613bb9
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size 497918592
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"is_local": false,
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"local_files_only": false,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<|padding|>",
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"tokenizer_class": "GPTNeoXTokenizer",
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"trim_offsets": true,
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"unk_token": "<|endoftext|>"
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}
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