twhoool02
/

Llama-2-7b-hf-AutoGPTQ

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 ---
+language: en
+license: other
+tags:
+- meta
+- GPTQ
+- facebook
+- llama
+- llama2
+base_model: meta-llama/Llama-2-7b-hf
+model_name: Llama-2-7b-hf-AutoGPTQ
+library:
+- Transformers
+- GPTQ
+model_type: llama
+pipeline_tag: text-generation
+qunatized_by: twhoool02
 ---
+# Model Card for LlamaForCausalLM(
+  (model): LlamaModel(
+    (embed_tokens): Embedding(32000, 4096)
+    (layers): ModuleList(
+      (0-31): 32 x LlamaDecoderLayer(
+        (self_attn): LlamaSdpaAttention(
+          (rotary_emb): LlamaRotaryEmbedding()
+          (k_proj): QuantLinear()
+          (o_proj): QuantLinear()
+          (q_proj): QuantLinear()
+          (v_proj): QuantLinear()
+        )
+        (mlp): LlamaMLP(
+          (act_fn): SiLU()
+          (down_proj): QuantLinear()
+          (gate_proj): QuantLinear()
+          (up_proj): QuantLinear()
+        )
+        (input_layernorm): LlamaRMSNorm()
+        (post_attention_layernorm): LlamaRMSNorm()
+      )
+    )
+    (norm): LlamaRMSNorm()
+  )
+  (lm_head): Linear(in_features=4096, out_features=32000, bias=False)
+)
 ## Model Details
+This model is a GPTQ quantized version of the meta-llama/Llama-2-7b-hf model.
+- **Developed by:** Ted Whooley
+- **Library:** Transformers, GPTQ
+- **Model type:** llama
+- **Model name:** LlamaForCausalLM(
+  (model): LlamaModel(
+    (embed_tokens): Embedding(32000, 4096)
+    (layers): ModuleList(
+      (0-31): 32 x LlamaDecoderLayer(
+        (self_attn): LlamaSdpaAttention(
+          (rotary_emb): LlamaRotaryEmbedding()
+          (k_proj): QuantLinear()
+          (o_proj): QuantLinear()
+          (q_proj): QuantLinear()
+          (v_proj): QuantLinear()
+        )
+        (mlp): LlamaMLP(
+          (act_fn): SiLU()
+          (down_proj): QuantLinear()
+          (gate_proj): QuantLinear()
+          (up_proj): QuantLinear()
+        )
+        (input_layernorm): LlamaRMSNorm()
+        (post_attention_layernorm): LlamaRMSNorm()
+      )
+    )
+    (norm): LlamaRMSNorm()
+  )
+  (lm_head): Linear(in_features=4096, out_features=32000, bias=False)
+)
+- **Pipeline tag:** text-generation
+- **Qunatized by:** twhoool02
+- **Language(s) (NLP):** en
+- **License:** other