Add base model card (text-completion; no reasoning/tool-calling) + LICENSE.md

README.md

@@ -7,7 +7,6 @@ extra_gated_description: >-
 tags:
 - laguna-m.1
 - vllm
-- sglang
 - bf16
 - moe
 license: apache-2.0
@@ -87,10 +86,6 @@ completion = client.completions.create(
 print(completion.choices[0].text)
 ```
 
-### SGLang
-
-Laguna M.1-base is supported in SGLang via [sgl-project/sglang#28400](https://github.com/sgl-project/sglang/pull/28400). As a completion model, serve it without the reasoning/tool-call parsers. A full serving recipe will be added here.
-
 ### Transformers
 
 Laguna is supported in Transformers `v5.7.0` and later ([huggingface/transformers#45673](https://github.com/huggingface/transformers/pull/45673)).
@@ -116,8 +111,8 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
 This model is licensed under the [Apache 2.0 License](https://huggingface.co/poolside/Laguna-M.1-base/blob/main/LICENSE.md).
 
-## Intended and Responsible Use 
+## Intended and Responsible Use
 
-Laguna M.1 is designed for software engineering and agentic coding use cases, and you are responsible for confirming that it is appropriate for your intended application. Laguna M.1 is subject to the [Apache 2.0 License](https://huggingface.co/poolside/Laguna-M.1/blob/main/LICENSE.md), and should be used consistently with Poolside's [Acceptable Use Policy](https://poolside.ai/legal/acceptable-use-policy). We advise against circumventing Laguna M.1 safety guardrails without implementing substantially equivalent mitigations appropriate for your use case.
+Laguna M.1-base is a base (pre-instruct) model intended for research and as a starting point for further training; you are responsible for confirming that it is appropriate for your intended application. It is subject to the [Apache 2.0 License](https://huggingface.co/poolside/Laguna-M.1-base/blob/main/LICENSE.md), and should be used consistently with Poolside's [Acceptable Use Policy](https://poolside.ai/legal/acceptable-use-policy). As a base model without post-training, it has not been through safety tuning; apply appropriate mitigations for your use case.
 
 Please report security vulnerabilities or safety concerns to [security@poolside.ai](mailto:security@poolside.ai).

config.json

@@ -14,7 +14,7 @@
   "num_attention_heads": 64,
   "num_key_value_heads": 8,
   "head_dim": 128,
-  "max_position_embeddings": 262144,
+  "max_position_embeddings": 131072,
   "attention_bias": false,
   "attention_dropout": 0.0,
   "rms_norm_eps": 1e-06,
@@ -45,7 +45,7 @@
     "full_attention": {
       "rope_theta": 500000.0,
       "rope_type": "yarn",
-      "factor": 64.0,
+      "factor": 32.0,
       "original_max_position_embeddings": 4096,
       "beta_slow": 1.0,
       "beta_fast": 64.0,